Apache Big Data Europe 2016: Full Schedule

Apache: Big Data Europe 2016
Click here to Register or for more information

17:00 CET

Pre-registration Open

Sunday November 13, 2016 17:00 - 19:00 CET
Triana Foyer

07:00 CET

Morning Run

Come meet in the lobby of the Melia Sevilla at 7:00am for a morning run. The plan is to cross to the park and run next to the river.

This will last an hour and the group will be back by 8:00am.

Monday November 14, 2016 07:00 - 08:00 CET
Melia Sevilla Hotel Lobby

Morning Activity

08:30 CET

Breakfast

Monday November 14, 2016 08:30 - 09:30 CET
Giralda Foyer

Break

08:30 CET

Registration

Monday November 14, 2016 08:30 - 17:20 CET
Triana Foyer

Break

Coffee Break

Monday November 14, 2016 10:25 - 11:00 CET
Giralda Foyer

Break

11:00 CET

Demonstrating the Societal Value of Big & Smart Data Management - Simon Scerri, Fraunhofer IAIS

H2020 BigDataEurope is a flagship project of the European Union's Horizon 2020 framework programme for research and innovation. In this talk we present the Docker-based BigDataEurope platform, which integrates a variety of Big Data processing components such as Hive, Cassandra, Apache Flink and Spark. Particularly supporting the variety dimension of Big Data, it adds a semantic data processing layer, which allows to ingest, map, transform and exploit semantically enriched data. In this talk, we will present the innovative technical architecture as well as applications of the BigDataEurope platform for life sciences (OpenPhacts), mobility, food & agriculture as well as industrial analytics (predictive maintenance). We demonstrate how societal value can be generated by Big Data analytics, e.g. making transportation networks more efficient or facilitating drug research.

Speakers

Simon Scerri

BDE Deputy Coordinator, Fraunhofer IAIS

Simon Scerri is a senior postdoc in the “Enterprise Information Systems” department at Fraunhofer IAIS and at the University of Bonn. In 2011, Simon received his Ph.D. from the Faculty of Engineering at the National University of Ireland, Galway. Prior to joining Fraunhofer, Simon contributed to research efforts (2005–2013) at the Digital Enterprise... Read More →

Monday November 14, 2016 11:00 - 11:50 CET
Santa Cruz

11:00 CET

The Role of Apache Big Data Stack in Finance: A Real World Experience on Providing Added Value to Online Customers - Luca Rosellini, KEEDIO

Nowadays, the main burden of BigData adoption is clearly the integration of new infrastructure and technologies with legacy systems, especially when dealing with data ingestion.

In this talk, KEEDIO will present the details of the aforementioned BigData architecture, deployed in a hybrid infrastructure for a rising bank in Spain, in order to provide added value to its customers. This success story has been possible by means of custom analytics built on top of several components of the Apache Stack.

The main and most interesting issues of this deployment will be explained as well as the their solutions based on tools like Apache NiFi, Apache Spark, Apache Mesos and Apache Zeppelin. Thus, the complete ingestion architecture will be outlined, as well as data consolidation and processing.

Finally, the low latency online data exploitation architecture will be explained.

Speakers

Luca Rosellini

CTO, KEEDIO

Luca has been working on Big Data project for major Spanish corporations for the last four years. He now serves as the CTO of KEEDIO, a young spanish startup focused in solving BigData problems in banking environments. He holds a master degree in computer engineering at the university... Read More →

Monday November 14, 2016 11:00 - 11:50 CET
Giralda III/IV

11:00 CET

Geospatial Track: Apache SIS for Earth Observation and Beyond - Martin Desruisseaux, Geomatys

Apache SIS is a library for helping developers to create their own geospatial application. SIS follows closely international standards published jointly by the Open Geospatial Consortium (OGC) and the International Organization for Standardization (ISO). In this talk we will show how SIS provides a unified metadata model based on ISO 19115 standard for summarizing the content of some file formats used for earth observation: GeoTIFF, NetCDF, Landsat 8 and MODIS. We will show how to get the Coordinate Reference System (CRS) from those file formats or from other sources like Well Known Text (WKT) 2 or registry maintained by authorities, and how to use those CRS for coordinate operations. We will present new issues to take in account when applying those tools to extra-terrestrial bodies like Mars or asteroids. Finally we will present next developments proposed for Apache SIS.

Speakers

Martin Desruisseaux

Developer, Geomatys

I hold a Ph.D thesis in oceanography, but have continuously developed tools for helping analysis work. I used C/C++ before to switch to Java in 1997. I develop geospatial libraries since that time, initially as a personal project then as a GeoTools contributor until 2008. I'm now... Read More →

Monday November 14, 2016 11:00 - 11:50 CET
Carmona

Geo

11:00 CET

Practical Graph Analytics with Apache Giraph - Roman Shaposhnik, Pivotal

This talk will help you build data mining and machine learning applications using Apache Giraph framework for graph processing. This talk is based on the "Practical Graph Analytics with Apache Giraph" book trying to be as hands-on as possible. Apache Giraph offers a simple yet flexible programming model targeted to graph algorithms and designed to scale easily to accommodate massive amounts of data. Originally developed at Yahoo!, Giraph now enjoys a diverse community of contributors from who's-who of Silicon Valley companies: Facebook, LinkedIN and Twitter.

Speakers

Roman Shaposhnik

Director of Open Source, Linux Foundation

Apache Software Foundation and Data, oh but also unikernels

Monday November 14, 2016 11:00 - 11:50 CET
Giralda VI/VII

Graph

11:00 CET

Hive 2.0 SQL, Speed, Scale - Alan Gates, Hortonworks

Apache Hive is the most commonly used SQL interface for Hadoop. To meet users data warehousing needs it must scale to petabytes of data, provide the necessary SQL, and perform in interactive time. The Hive community ihas produced a 2.0 release of Hive that includes significant improvements. These include:

* LLAP, a daemon layer that enables sub-second response time.

* HBase to store Hiveäó»s metadata, resulting in significantly reduced planning time.

* Using Apache Calcite to build a cost based optimizer

* Adding procedural SQL

* Improvements in using Spark as an engine for Hive execution

This talk will cover the use cases these changes enable, the architectural changes being made in Hive as part of building these features, and share performance test results on how these improvements are speeding up Hive.

Speakers

Alan Gates

Co-founder and Architect, Hortonworks

Monday November 14, 2016 11:00 - 11:50 CET
Nervion/Arenal II/III

Hive

11:00 CET

Putting A Spark in Web Apps - David Fallside, IBM

Web app developers want to take advantage of the sophisticated analytics and big data processing provided by engines such as Apache Spark. Traditionally, web app development would use an enterprise language like Java but with a development emphasis now on agility and simplicity, technologies such as Node.js, Ruby on Rails, and PHP are increasingly being used for such development. Apache Spark has APIs for Scala, Java and Python but no API for Node.js or JavaScript despite their importance for web app development. To fill this gap, the EclairJS open-source project was created to provide an API in Node.js and JavaScript and enable web app developers to incorporate the analytic and other capabilities of Spark. In this presentation, David Fallside will show some web applications that demonstrate Sparkäó»s capabilities and explain how they are implemented using EclairJS.

Speakers

David Fallside

Technologist, IBM

David Fallside works in an emerging tech team at IBM that develops the open-source EclairJS project and provides Node.js with an Apache Spark API. Some of the teamâ€™s previous projects include LoB tools for Spark and Hadoop, and information engineering for IBMâ€™s Watson... Read More →

asf bigdata es 2016 eclairjs pdf

Monday November 14, 2016 11:00 - 11:50 CET
Giralda I/II

Spark

11:00 CET

Apache Gearpump Next-Gen Streaming Engine - Karol Brejna & Huafeng Wang, Intel

Stream processing goes mainstream in the Big Data world and becomes widely adopted in the industry. Despite its expanding popularity, many hard problems remain to be solved. Apache Gearpump(incubating) is a next-gen streaming engine designed to solve the hard parts in stream processing. It is good at streaming infinite out-of-order data and guarantees correctness. It helps user to easily program streaming applications, get runtime information and update dynamically. In this presentation, we will demystify how Gearpump solves the hard parts in stream processing and achieves high throughput at millisecond latency message delivery.

Speakers

Karol Brejna

Intel

Father, husband, software enthusiast. After over a dozen years of struggling with system integration, service and event oriented/driven architectures, business process management, enterprise content management, NoSQLs, ESBs, clouds joined Intel to work for Analytics and Artificial... Read More →

Huafeng Wang

Software engineer, Vipshop

Huafeng is a software engineer from Intel's Big Data engineering group, as well as a committer of Apache Gearpump, which is an open sourced streaming process engine initiated by Intel.

Apache Gearpump 16 9 pdf

Monday November 14, 2016 11:00 - 11:50 CET
Nervion/Arenal I

Stream

12:00 CET

Data Science with Spark and Case Study with Non-Motorized Travel Social Data for the Public - Yi Fan Zhang, IBM

The collection, documentation, management and analysis of big data associated with non-motorized travel has not attracted enough attentions. This may not conform to the trend that cycling, walking and jogging are strongly advocated by governments to build low-carbon cities and also to improve peopleäó»s health conditions. This session will share the experience that quantify and characterize the non-motorized travel by means of tempo-spatial analysis. The data used in this case is captured from a famous online community for running amateurs sharing their activities. Around 0.5 million running and cycling records from 0.3 million people in Beijing are analyzed with machine learning and data science methodology in this case study. Spark ML with random forest algorithm, and grid search of the parameters selection have been used on the prediction upon weather, AQI and time.

Speakers

Yi Fan Zhang

Software Engineer, IBM

Working in Cloud Data Service, Big data, Entity Analytics Development, IBM China Development Lab. Recently, I am working on the Smart Traffic with People/Vehicle Trajectory Analysis Platform: Including build a Spark distributed computing environment,design and develop Spark applications... Read More →

Monday November 14, 2016 12:00 - 12:50 CET
Giralda III/IV

12:00 CET

Geospatial Track: Geospatial Big Data: Software Architectures and the Role of APIs in Standardized Environments - Ingo Simonis, Open Geospatial Consortium (OGC)

A number of technologies have evolved around big data, in particular products from the Apache community such as Hadoop, Storm, Spark, Hive, or Cassandra. The geospatial community has developed a range of standards to handle geospatial data in an efficient way. Most of these standards are produced by the Open Geospatial Consortium (OGC) and implemented in the form of domain-agnostic data models and Web services. With the emerging demand for streamlined APIs, new questions emerge how access to Big Data in the geospatial community can be handled most efficiently, how existing standards serve these new demands and implementation realities with distributed Big Data repositories operated e.g. by the various space agencies. This presentation should stimulate the discussion of geospatial Big Data handling in standardized environments and explore the role of products from the Apache community.

Speakers

Ingo Simonis

Director Innovation Programs & Science, OGC

Dr. Ingo Simonis is director of interoperability programs and science at the Open Geospatial Consortium (OGC), an international consortium of more than 525 companies, government agencies, research organizations, and universities participating in a consensus process to develop publicly... Read More →

Monday November 14, 2016 12:00 - 12:50 CET
Carmona

Geo

12:00 CET

Graph Processing with Apache Tinkerpop on Apache S2Graph - Doyung Yoon, Kakao Corp.

Since the last conference, Apache S2Graph community has been working on the integration with Apache Tinkerpop. Tinkerpop users are now able to use S2Graph as graph database without changing their Thinkerpop code, and also execute OLAP graph queries over their data in HDFS. We will share our experiences to integrate Thinkerpop as a graph database API, and comment on our current limitations and future plans. We will also present the benchmark results showing the comparison between S2Graph and existing graph databases such as Neo4j, Titan, and OrientDB. We focus our benchmarks on the "neighbors of neighbors" queries and the basic CRUD operations. Similar to Titan, S2Graph supports multiple storage backends, such as HBase, Cassandra, Mysql, Postgresql, and RocksDB, and the S2Graph's performance for each backend will be presented.

Speakers

Doyung Yoon

Software Engineer, Kakao

Doyung works in a distributed graph database team at Kakao as software engineer, where his focus is on performance and usability. He developed Apache S2Graph, an open-source distributed graph database, and has previously presented it at ApacheCon BigData Europe and ApacheCon BigData... Read More →

Apache Con Big Data Europe pdf

Monday November 14, 2016 12:00 - 12:50 CET
Giralda VI/VII

Graph

12:00 CET

An Overview on Optimization in Apache Hive: Past, Present, Future - Jesús Camacho Rodríguez, Hortonworks

Apache Hive has been continuously evolving to support a broad range of use cases, bringing it beyond its batch processing roots to its current support for interactive queries with LLAP. However, the development of its execution internals is not sufficient to guarantee efficient performance, since poorly optimized queries can create a bottleneck in the system. Hence, each release of Hive has included new features for its optimizer aimed to generate better plans and deliver improvements to query execution. In this talk, we present the development of the optimizer since its initial release. We describe its current state and how Hive leverages the latest Apache Calcite features to generate the most efficient execution plans. We show numbers demonstrating the improvements brought to Hive performance, and we discuss future directions for the next-generation Hive optimizer.

Speakers

Jesús Camacho Rodríguez

Member of Technical Staff, Hortonworks

Jesús Camacho Rodríguez is a Member of Technical Staff at Hortonworks, the PMC chair of Apache Calcite, and a PMC member of Apache Hive. His current work focuses on extending and improving query processing and optimization, ensuring that the increasingly complex workloads supported... Read More →

2016 apachecon bigdata hive optimizer pdf

Monday November 14, 2016 12:00 - 12:50 CET
Nervion/Arenal II/III

Hive

12:00 CET

Spark Streaming is currently one of the leading frameworks in the industry for distributed stream processing. However testing Spark Streaming programs is still a challenge, due to the complications of dealing with time. In this presentation, Adrian Riesco gives an introduction to sscheck, a testing library for Spark that extends ScalaCheck with additional temporal logic operators for generators and properties, that are used to define tests for Spark Streaming as linear temporal logic formulas, resulting in tests that are high level and easy to understand.

Speakers

Adrian Riesco

PhD Assistant Professor, Facultad de Informatica (UCM)

Programmer, kakao

Works on S2Graph team

Hyunsung Jo

Kakao

Seoul-based developer interested in large scale data systems and cloud computing. Currently, working as a data systems developer at Kakao Corp., Korea with open source projects such as Apache S2Graph (incubating) and Druid among others. Previous work experience include software... Read More →

Hwansung Yu

Kakao

Senior Principal Software Engineer, Red Hat

Michael McCune is a software developer creating open source infrastructure and applications for cloud platforms. He has a passion for problem solving and team building, and a lifelong love of music, food, and culture.

Monday November 14, 2016 13:00 - 13:50 CET
Giralda I/II

Spark

13:50 CET

Lunch Break (Attendees on Own)

Monday November 14, 2016 13:50 - 15:30 CET
Lunch Recommendations Available at Registration

Break

15:30 CET

Fighting Identity Theft: Big Data Analytics to the Rescue - Seshika Fernando, WSO2

Identity Theft is no longer just a consumeräó»s problem. Attackers are now targeting Enterprises for bigger financial gains and greater damage not just to the organizationäó»s infrastructure but more importantly to its corporate image.

While Enterprise Identity Theft Analytics Tools do exist, most organizations find it economically prohibitive to invest in expensive proprietary software. In this session, Seshika will show how a comprehensive Identity Theft Analytics Solution can be built using Open Source Technologies. She will demonstrate how Big Data Analytics can be used to safeguard any Enterprise by covering the 4 Aäó»s of Identity Analytics

äó¢ Authentication Analytics

äó¢ Authorization Analytics

äó¢ Audit Trail Analytics

äó¢ Adaptive Analytics

Software Engineer, Redlink GmbH

I'm a Software engineer specialized in innovation, with a focus on Data Architectures. My interests include Distributed Architectures, Data Integration, Linked Data and System Engineering. I've worked as software engineer and project manager in different industries, but always somehow... Read More →

Moven Apache Big Data Europe 2016 SSIX Project pdf

Monday November 14, 2016 15:30 - 16:20 CET
Nervion/Arenal II/III

Machine Learning

15:30 CET

Large Scale SolrCloud Cluster Management via APIs - Anshum Gupta, IBM Watson

Apache Solr is widely used by organizations to power their search platforms and often support multiple users. A lot of cluster management APIs were introduced over the last few releases, allowing the users to to manage operations ranging from replica placement to forcing leader elections via API calls. At the end of this talk, intermediate Solr users would understand what's available, and when can they avoid direct interference with the system, leading to more stable clusters and lower chances of nodes going down. The attendees would also be much better equipped to build their own SolrCloud cluster management tools. I would also talk about when not to use these APIs and what's planned in the near future to handle specific operational use cases.

Speakers

Anshum Gupta

Sr. Software Engineer, IBM Watson

Monday November 14, 2016 15:30 - 16:20 CET
Giralda V

Solr

15:30 CET

Open Source Operations: Building on Apache Spark with InsightEdge, TensorFlow, Apache Zeppelin, and/or Apache - Samuel Cozannet, Canonical

As software becomes more free and open it also is becoming more complex and expensive to operate. How can we as an Open Source community distill best practices, and recommended operations to model complex interconnected services so users can focus on their ideas? How can we as developers deliver recommended best practices in our applications and when connected to other applications so users are free to contribute and use the project on their choice of substrate (laptop, cloud, or bare metal [x86, ARM, ppc64el, s390x]).

In this talk we explore how Juju can provide an Open Source method to model a multi-node Apache Spark cluster across a diverse set of substrates, and start adding other services to build additional solutions. This talk will include a demo, and users should be able to take all software shown to try for themselves in a free and Open Source manner.

Speakers

Director, ValueLabs

Manidipa Mitra heads the Big Data CoE in ValueLabs having extensive experience in building industry specific solution using distributed computing and cloud technologies . Having 16+ years of software industry experience and in-depth knowledge on disruptive-technologies, Cloud and... Read More →

Monday November 14, 2016 16:30 - 17:20 CET
Giralda III/IV

16:30 CET

Interactive Analytics at Scale in Apache Hive Using Druid - Jesús Camacho Rodríguez, Hortonworks

Druid is an open-source analytics data store specially designed to execute OLAP queries on event data. Its speed, scalability and efficiency have made it a popular choice to power user-facing analytic applications. However, it does not provide important features requested by many of these applications, such as a SQL interface or support for complex operations such as joins. This talk presents our work on extending Druid indexing and querying capabilities using Apache Hive. In particular, our solution allows to index complex query results in Druid using Hive, query Druid data sources from Hive using SQL, and execute complex Hive queries on top of Druid data sources. We describe how we built an extension that brings benefits to both systems alike, leveraging Apache Calcite to overcome the challenge of transparently generating Druid JSON queries from the input Hive SQL queries.

Speakers

Jesús Camacho Rodríguez

Member of Technical Staff, Hortonworks

2016 apachecon bigdata druid integration pdf

Monday November 14, 2016 16:30 - 17:20 CET
Nervion/Arenal II/III

Hive

16:30 CET

Integrators at Work! Real-Life Applications of Apache Big Data Components - Moderated by Phil Archer, W3C

The event will offer both insights and a hands-on opportunity to learn about and try out the Big Data Platform devised by the BigDataEurope (BDE) project. It's most striking feature is the ease with which many Apache big data components like Apache Spark, Flink, Kafka, Cassandra and Solr can be instantiated through a simple UI thanks to the project's use of Docker containers and Docker Swarm.

BDE is producing 7 pilot instances aligned with the 7 H2020 Societal Challenges (SC), each of which targets a real-world use-case. Things like handling the 2GB of data produced each day by a single typical wind turbine; data mining academic journals and matching the named entities with further information about them including images; tracking changes in land use and matching them with social and professional media feeds. Many of these use cases depend on another key feature of the BigDataEurope platform - the semantification of big data.

Participants will also have the opportunity to shape the next stage of the BDE platform, based on their unique skills and experiences with the Apache technology.

Moderators

Phil Archer

Data Strategist, W3C

Phil Archer is the Data Strategist at W3C, the industry standards body for the World Wide Web, coordinating W3C's work in the Semantic Web and related technologies. He is most closely involved in the Data on the Web Best Practices, Permissions and Obligations Expression and S... Read More →

Speakers

Angelos Charalambidis

Researcher, NCSR “Demokritos”

Angelos Charalambidis is a postdoctoral researcher in the Data Engineering Group of the Institute of Informatics at NCSR “Demokritos”. He received his PhD in Programming Languages and his main interests include declarative programming languages, big data systems optimisations... Read More →

Hajira Jabeen

Senior Researcher, University of Bonn

She is a work package lead and coordinator for the Big Data Europe.Her research interests are Big Data, Structured Machine Learning, Semantic Web, Data Mining and Evolutionary Computation.

Axel-Cyrille Ngonga Ngomo

Head of Research Group, INFAI

Head of AKSW (http://aksw.org) at University of Leipzig/InfAI, a research group with ca. 50 members. Author of 120+ research papers and 20+ presentations are top-tier conferences. Received manifold research awards including Next Einstein Forum award 2016, 12 best research paper awards... Read More →

SDE-II, Microsoft

A distributed systems engineer, committer on Apache Apex, PMC Member on Apache MADLib, PPMC Member on Apache HAWQ and major contributor in PostgreSQL Project, having implemented GROUPING SETS, ROLLUP, CUBE and Ordered Set Aggregates

Monday November 14, 2016 16:30 - 17:20 CET
Nervion/Arenal I

Stream

17:30 CET

BoF Space Available - Book Now! (Space is Limited)

Are you passionate about a topic and want to share that with others? If so, sign up to lead a Birds of a Feather (BoF) session. Instead of passive listening, all attendees and organizers are encouraged to become participants, with discussion leaders providing moderation and structure for attendees. To sign up for a BoF Session, please book through the form. You will select the time and then be prompted to enter your BoF details.

Monday November 14, 2016 17:30 - 18:30 CET
TBA

BoF

17:30 CET

BoF: Apache Beam and You! - Jean-Baptiste Onofré, Talend & ASF and Dan Halperin, Google

Apache Beam is a unified programming model for big data processing. Especially Beam is composed around three visions and kind of users: if the end users are the pipeline writers, the SDK & DSL writers, and the runner writers can be you, as contributor to other Apache projects!

Speakers

Daniel Halperin

Google

Dan Halperin is a PMC member of Apache Beam. He has worked on Beam and Google Cloud Dataflow for 2 years. Previously, he was the director of research for scalable data analytics at the University of Washington eScience Institute, where he worked on scientific big data problems in... Read More →

Jean-Baptiste Onofré

Talend

JB is PMC member for Apache Beam. He is a long-tenured Apache member, serving on PMC/committer for about 15 projects that range from integration to big data.

Monday November 14, 2016 17:30 - 18:30 CET
Nervion/Arenal II/III

BoF

17:30 CET

BoF: Apache Branding Policies & Trademarks - Shane Curcuru, Apache Software Foundation

Come meet Shane, VP, Brand for the ASF, to ask your questions about how Apache projects are branded and how you can respect Apache trademarks!
https://s.apache.org/trademarks

Speakers

Shane Curcuru

Founder, Punderthings Consulting

Shane serves as V.P. of Brand Management for the ASF, setting trademark and brand policy for all 250+ Apache projects, and has served as five-time Director, and member and mentor for Conferences and the Incubator. Shane's Punderthings consultancy is here to help both companies and... Read More →

Monday November 14, 2016 17:30 - 18:30 CET
Nervion/Arenal I

BoF

17:30 CET

BoF: Apache Way as a Cultural Template - Dzmitry Pletnikau, Unicity Intl

Organizations operate within the framework of rules: written or implicit. These rules form the "culture". Manager's or executive's job is to shape and guide the evolution of these rules. Can Apache Way be used as a drop-in cultural template in any organization producing intellectual assets?

Speakers

Dzmitry Pletnikau

Unicity Intl

Growing up in Belarus, Dzmitry developed an early interest in natural sciences and computer programming. After receiving a degree in Physics, Dzmitry chose to freelance as a programmer. Five years later he settled as a Software Architect at Unicity, in Utah. Dzmitry is responsible... Read More →

Seville, Spain 2016 talk 2.1 pdf

Monday November 14, 2016 17:30 - 18:30 CET
Santa Cruz

BoF

17:30 CET

BoF: Open Source Beyond Software - Alexander Bezzubov, NF Labs

Open source software in general, and Apache Software Foundation in particular is a great example of how principles below have changed the whole industry:

Permissive licensing
Open governance
Distributed networks of collaborators
Work, guided by one's desire

Same principles begin to be are applied to other aspects of life by different communities around the globe

Open hardware
Makers
Publishing
DIYbio
Housing

As well as some more traditional cultural phenomenon similar in spirit:

Shanzhai (Chinese: 山寨)
Kibbutz (Hebrew: קִבּוּץ / קיבוץ)

Let's explore existing initiative and see where it can lead us together!

Speakers

Alexander Bezzubov

Software Engineer, NFLabs

Monday November 14, 2016 17:30 - 18:30 CET
Carmona

BoF

07:00 CET

Morning Run

Come meet in the lobby of the Melia Sevilla at 7:00am for a morning run. The plan is to cross to the park and run next to the river.

This will last an hour and the group will be back by 8:00am.

Tuesday November 15, 2016 07:00 - 08:00 CET
Melia Sevilla Hotel Lobby

Morning Activity

08:30 CET

Breakfast

Tuesday November 15, 2016 08:30 - 09:30 CET
Giralda Foyer

Break

08:30 CET

Sponsor Showcase

Tuesday November 15, 2016 08:30 - 15:30 CET
Triana Foyer

Sponsor Showcase

08:30 CET

Registration

Tuesday November 15, 2016 08:30 - 18:00 CET
Triana Foyer

Break

09:30 CET

Keynote: Hadoop Infrastructure @Uber Past, Present and Future - Mayank Bansal, Sr. Engineer, Uber

Uber’s mission is to provide transportation as reliable as running water and for fulfilling that mission data plays a critical role. In Uber, Hadoop plays a critical role in Data Infrastructure. We want to talk about the journey of Hadoop @Uber and our future plans in terms of scaling for billions of trips. We will talk about most unique use case Uber have and how Hadoop and eco system which we built, helped us in this journey. We want to talk about how we scaled from 10 -> 1000 and In future with help of Apache Mesos, Myriad and Hadoop to scale up to 10’s X1000 of Nodes. We will talk about our mistakes, learning and wins and how we process billions of events per day. We will talk about the unique challenges and real world use-cases and how we will co-locate the Uber’s service architecture with batch (e.g data pipelines, machine learning and analytical workloads).

Speakers

Mayank Bansal

Staff Engineer, Uber

Mayank Bansal is currently working as a Staff engineer at Uber in data infrastructure team. He is co-author of Peloton. He is Apache Hadoop Committer and Oozie PMC and Committer. Previously he was working at ebay in hadoop platform team leading YARN and MapReduce effort. Prior to... Read More →

Apache Data Uber Mayank Bansal pdf

Tuesday November 15, 2016 09:30 - 09:50 CET
Giralda I/II

Keynote

09:55 CET

Keynote: The ASF's Big Tent - Sean Owen, Director of Data Science, Cloudera

The ASF is going stronger than ever: more projects, contributors, corporations under an increasingly big tent. While the ASF facilitates software development on its surface, the ASF is more than just a Github. Its collaboration model and people drive success and longevity of projects and the foundation. Together in person we should strengthen community bonds.

Speakers

Sean Owen

Director of Data Science, Cloudera

Sean is Director of Data Science, based in London. Before Cloudera, he founded Myrrix Ltd. (now the Oryx project) to commercialize large-scale real-time learning on Hadoop. He is on the Apache Spark PMC and co-author of Advanced Analytics with Spark. Previously, Seanwas a senior... Read More →

Tuesday November 15, 2016 09:55 - 10:10 CET
Giralda I/II

Keynote

10:10 CET

Coffee Break

Tuesday November 15, 2016 10:10 - 11:00 CET
Giralda Foyer

Break

11:00 CET

Real Use Cases of Kappa Architecture - Juantomas Garcia, Open Sistemas

During the lasts three years we use kappa architecture in almost all our projects. We want to show how kappa architecture fixed in very different size projects. Kappa architecture is not the silver bullets for every project but is very likely ...

Speakers

Juantomas Garcia

Data Solutions Manager, Open Sistemas

President Hispalinux (Spanish User Local Group) (1999-2007) Author of the book "La Pastilla Roja" the first book in spanish about free software (2004) More than 200 lectures around the world. Now CDO of Open Sistemas and advocate of Apache Spark and Kappa Architecture. Organize of... Read More →

Tuesday November 15, 2016 11:00 - 11:50 CET
Nervion/Arenal I

11:00 CET

Building a Robust Analytics Platform with an Open-Source Stack - Dao Mi & Alex Kass, DigitalOcean

As modern enterprises migrate to microservice-centric cloud architecture, it has become imperative to build a new data analysis framework to handle äóñ often in real time - the event-based data these services produce. For this presentation, we will demonstrate how to leverage multiple open source projects to build a robust framework quickly and cheaply that can scale with an organization as it grows and inexorably generates more and more data.

They will cover a tangible, real-world, implementation that includes Apache technologies such as Kafka, Mesos, and Spark, as well as open-source PrestoDB (Facebook).

The speakers will discuss lessons learnt during and after the build, as well as

some specific use-cases for how this approach brought about otherwise-unattainable actionable business insights and results, including hardware failure prediction and capacity planning.

Speakers

Alex Kass

Engineering Manager, DigitalOcean

Alex Kass has worked at companies ranging from large financial institutions to early-stage startups, regularly building successful analytical models and systems of varying size. At DigitalOcean, a fast-growing global cloud hosting provider, he has at his disposal sufficient software... Read More →

Dao Mi

Data Engineer, Digital Ocean

Dao Mi has extensive experience working with data of different scale, type and velocity across myriad industries, from natural gas to floating bonds. While at Microsoft, he helped deliver BI and predictive analytics solutions to Fortune 500 clients. He has helped build a large custom... Read More →

Tuesday November 15, 2016 11:00 - 11:50 CET
Giralda V

11:00 CET

Crawling the Web for Common Crawl - Sebastian Nagel, Common Crawl

Common Crawl is non-profit organization which regularily crawls a significant sample of the web and makes the data accessible free charge to everyone interested in running machine-scale analysis on web data. The presentation will demonstrate how to use the Common Crawl data covering data formats and tools as well as examples and derived datasets. The monthly crawls are run by Apache Nutch on Apache Hadoop. Sebastian will also share his experience from running a web-scale crawl on a small budget.

Speakers

Sebastian Nagel

Crawl Engineer, commoncrawl.org

Sebastian Nagel works as crawl engineer at Common Crawl, a non-profit organization that makes web data freely accessible to everyone. Prior to joining Common Crawl he implemented search and data quality solutions at Exorbyte. Sebastian is a committer and PMC of Apache Nutch, a scalable... Read More →

aceu2016 snagel crawling web commoncrawl pdf

Tuesday November 15, 2016 11:00 - 11:50 CET
Giralda III/IV

Crawl

11:00 CET

Create a Hadoop Cluster and Migrate 39PB Data Plus 150000 Jobs/Day - Stuart Pook, Criteo

Criteo had an Hadoop cluster with 39 PB raw stockage, 13404 CPUs, 105 TB RAM, 40 TB data imported per day and >100000 jobs per day. This cluster was critical in both stockage and compute but without backups. This talk describes: 0/ the different options considered when deciding how to protect our data and compute capacity 1/ the criteria established for the 800 new computers and comparison tests between suppliers' hardware 2/ the non-blocking network infrastructure with 10 Gb/s endpoints scalable to 5000 machines 3/ the installation and configuration, using Chef, of a cluster on new hardware 4/ the problems encountered in moving our jobs and data from the old CDH4 cluster to the new CDH5 cluster 600 km distant 5/ running and feeding with data the two clusters in parallel 6/ fail over plans 7/ operational issues 8/ the performance of the 16800 core, 200 TB RAM and 60 PB disk CDH5 cluster.

Speakers

Stuart Pook

Senior DevOps Engineer, Criteo

Stuart loves storage (130 PB at Criteo) and is part of Criteo's Lake team that runs some small and two rather large Hadoop clusters. He also loves automation with Chef because configuring more than 2200 Hadoop nodes by hand is just too slow. Before discovering Hadoop he developed... Read More →

Pook ApacheBigDataEurope2016 CreateHadoopCluster pdf

Tuesday November 15, 2016 12:00 - 12:50 CET
Giralda VI/VII

12:00 CET

The Original Vision of Nutch, 14 Years Later: Building an Open Source Search Engine - Sylvain Zimmer, Common Search

Few people remember that before spinning off Hadoop and focusing on crawling, Nutch was meant to be an alternative to commercial search engines. What if we tried to do it again today?

In this presentation, Sylvain Zimmer will explain how he used projects from the Nutch diaspora like Spark and Elasticsearch to build Common Search, an open source search engine with transparent rankings.

We will go over the architecture of large-scale search engines and how it has evolved since the late 90s. Then we will review the tools from the Apache and open source ecosystems that are best suited to solve the many challenges at hand. Finally, we will discuss what lies ahead for Common Search before it can be useful to the general public.

Speakers

Sylvain Zimmer

Founder, Common Search

Sylvain Zimmer is a software developer and longtime free culture advocate. In 2004 he founded Jamendo, the largest Creative Commons music community online. Since 2012, he has been the CTO of Pricing Assistant, a startup specialized in large-scale crawling of E-commerce websites. He... Read More →

Tuesday November 15, 2016 12:00 - 12:50 CET
Giralda III/IV

Crawl

12:00 CET

Using Apache Calcite for Enabling SQL and JDBC Access to Apache Geode and Other NoSQL Data Systems - Christian Tzolov, Pivotal

When working with BigData & IoT systems we often feel the need for a Common Query Language. The system specific languages usually require longer adoption time and are harder to integrate within the existing stacks.

To fill this gap some NoSql vendors are building SQL access to their systems. Building SQL engine from scratch is a daunting job and frameworks like Apache Calcite can help you with the heavy lifting. Calcite allow you to integrate SQL parser, cost-based optimizer, and JDBC with your NoSql system.

We will walk through the process of building a SQL access layer for Apache Geode (In-Memory Data Grid). I will share my experience, pitfalls and technical consideration like balancing between the SQL/RDBMS semantics and the design choices and limitations of the data system.

Hopefully this will enable you to add SQL capabilities to your prefered NoSQL data system.

Speakers

Christian Tzolov

Pivotal Inc

Christian Tzolov, Pivotal technical architect, BigData and Hadoop specialist, contributing to various open source projects. In addition to being an ApacheÂ® Committer and Apache Crunch PMC Member, he has spent over a decade working with various Java and Spring projects and has led... Read More →

ApacheCon2016ChristianTzolov.v3 pdf

Tuesday November 15, 2016 12:00 - 12:50 CET
Nervion/Arenal II/III

NoSQL

12:00 CET

Using Apache Spark for Generating ElasticSearch Indices Offline - Andrej Babolcai, ESET

Making historical data available for searching can be a challenge, especially if you have a lot of it. Indexing data to a live cluster can degrade search performance and having a spare cluster where you index your data can be expensive. In this talk we present the approaches we tried and describe an approach to create ElasticSearch indices offline using Apache Spark. When created, these indices are then stored as snapshots in HDFS and can then be restored to a running ElasticSearch cluster. Snapshots in HDFS also work as a backup, ready to restore solution in case of an error.

Speakers

Andrej Babolcai

Software Engineer, Eset

Software Engineer at ESET Currently working with Big Data technologies at ESET. Responsible for collecting and storing and making data available for end users. Previously worked at Honeywell. Speaking experience: Caro workshop 2016 (http://2016.caro.org/)

Tuesday November 15, 2016 12:00 - 12:50 CET
Giralda I/II

Spark

12:00 CET

Building Streaming Applications with Apache Apex - Thomas Weise & Chinmay Kolhatkar, DataTorrent

Stream processing applications built on Apache Apex run on Hadoop clusters and typically power analytics use cases where availability, flexible scaling, high throughput, low latency and correctness are essential. These applications consume data from a variety of sources, including streaming sources like Apache Kafka, Kinesis or JMS, file based sources or databases. Processing results often need to be stored in external systems (sinks) for downstream consumers (pub-sub messaging, real-time visualization, Hive and other SQL databases etc.). Apex has the Malhar library with a wide range of connectors and other operators that are readily available to build applications. We will cover key characteristics like partitioning and processing guarantees, generic building blocks for new operators (write-ahead-log, incremental state saving, windowing etc.) and APIs for application specification.

Speakers

Chinmay Kolhatkar

Chinmay is Software Engineer at DataTorrent Software, India and committer on the Apache Apex project.

Thomas Weise

CTO, Atrato.io

Apache BigData Spain Building Streaming Application.pptx pdf

Tuesday November 15, 2016 12:00 - 12:50 CET
Carmona

Stream

13:00 CET

Large Scale Open Source Data Processing Pipelines at Trivago - Clemens Valiente, Trivago

trivago is processing roughly 7 billion events per day with an architecture that is entirely open source - from producing the data until its visualization in dashboards and reports. This talk will explain the idea behind the pipeline, highlight a particular business use case and share the experience and engineering challenges from two years in production. Clemens Valiente will furthermore show the different tools, frameworks and systems used, with Kafka for data ingestion, hadoop and Hive for processing and Impala for querying as the main focus. The successful implementation of this large scale data processing pipeline fundamentally transformed the way trivago was able to approach its business.

Speakers

Clemens Valiente

Lead Data Engineer, trivago GmbH

I'm part of trivago's Data Engineering team where we are running a data processing pipeline through kafka, hadoop, impala and R processing roughly 7 billion events per day. Our hadoop cluster is central for BI dashboards, reports, ad hoc analyses, personalisation, bidding and recommendation... Read More →

Tuesday November 15, 2016 13:00 - 13:50 CET
Giralda VI/VII

13:00 CET

Massively Parallel Data Warehousing in the Hadoop Stack - Gregory Chase & Roman Shaposhnik, Pivotal

Hadoop has been touted as a replacement for data warehouses. In practice Hadoop has had success offloading ETL/ELT workloads, but still has gaps serving requirements for operational analytics.

Apache Bigtop now includes Greenplum Database in deployment of big data solutions. Greenplum Database is, an open source massively parallel data warehouse based on PostgreSQL, and is an excellent addition to the Hadoop ecosystem.

In this session we'll cover:

Introduction to Greenplum
Bigtop Support for Greenplum
External tables in Hadoop by Greenplum
Parallel reads and writes to Hadoop by Greenplum
Running advanced analytics on structured and unstructured data in both Hadoop and Greenplum via Apache MADlib (incubating)
Geospatial and Machine Learning in Greenplum based on HDFS data
Storing data from a data lake in Greenplum for high throughput analytical queries

Speakers

Gregory Chase

Director Product Marketing, PagerDuty

Greg Chase is Director of Product Marketing for PagerDuty Automation and Rundeck. He's been in marketing and engineering in software companies for too many decades, evangelizing and building automation platforms, developer tools and data engineering frameworks. Before PagerDuty, Greg... Read More →

Roman Shaposhnik

Director of Open Source, Linux Foundation

Apache Software Foundation and Data, oh but also unikernels

Tuesday November 15, 2016 13:00 - 13:50 CET
Nervion/Arenal I

13:00 CET

What 50 Years of Data Science Leaves Out - Sean Owen, Cloudera

We're told "data science" is the key to unlocking the value in big data, but, nobody seems to agree just what it is -- engineering, statistics, both? David Donoho's paper "50 Years of Data Science" offers one of the best criticisms of the hype around data science from a statistics perspective, and proposes that data science is not new, if it's anything at all. This talk will examine these points, and respond with an engineer's counterpoints, in search of a better understanding of data science.

Speakers

Sean Owen

Director of Data Science, Cloudera

Tuesday November 15, 2016 13:00 - 13:50 CET
Estepa

13:00 CET

Scalable Private Information Retrieval: Introducing Apache Pirk (incubating) - Ellison Anne Williams, Creator of Apache Pirk

Querying information over TBs of data where no one can see what you query or the responses obtained? It sounds like science fiction, but it is actually the science of Private Information Retrieval (PIR). This talk will introduce Apache Pirk - a new incubating Apache project designed to provide a framework for scalable, distributed PIR. We will discuss the motivation for Apache Pirk, its distributed implementations in platforms such as Spark and Storm, itäó»s current algorithms, the power of homomorphic encryption, and take a look at the path forward.

Speakers

Ellison Anne Williams

Ellison Anne Williams is a creator and PMC member of Apache Pirk, a pure mathematician by training, and a practical computer scientist in real life. Her passion is doing cool stuff with massive amounts of data.

Tuesday November 15, 2016 13:00 - 13:50 CET
Carmona

Intro

13:00 CET

SASI, Cassandra on the Full Text Search Ride! - DuyHai Doan, Datastax

Apache Cassandra is a scalable database with high availability features. But they come with severe limitations in term of querying capabilities.

Since the introduction of SASI in Cassandra 3.4, the limitations belong to the pass. Now you can create indices on your columns as well as benefit from full text search capabilities with the introduction of the new `LIKE '%term%'` syntax.

To illustrate how SASI works, we'll use a database of 100 000 albums and artists. We'll also show how SASI can help to accelerate analytics scenarios with Apache Spark using SparkSQL predicate push-down.

We also highlight some use-cases where SASI is not a good fit and should be avoided (there is no magic, sorry)

Speakers

DuyHai Doan

Technical Advocate, Datastax

DuyHai DOAN is an Apache Cassandra Evangelist at DataStax and committer for Apache Zeppelin. He spends his time between technical presentations/meetups on Cassandra, coding on open source projects like Achilles or Apache Zeppelin to support the community and helping all companies... Read More →

Tuesday November 15, 2016 13:00 - 13:50 CET
Nervion/Arenal II/III

NoSQL

13:00 CET

Elastic Spark Programming Framework - A Dependency Injection Based Programming Framework for Spark Applications - Bruce Kuo

Apache Spark is the hottest computing engine nowadays.

More people in big data industry start to use Spark in production systems,

such as machine learning and data ETL applications.

However, developers take quality of code seriously in production systems.

In the past experience, we find there is a gap between development and production.

The difficulties we meet when developing Spark applications in production systems are:

(1) hard to communicate with components,

(2) indirect management of application arguments,

(3) inadequate code maintainability.

To solve these problems and make development smoother, we propose

a dependency-injection-based programming framework on JVM systems.

It provides basic management, monitoring, and better communication mechanisms.

The huge flexibility can help developers writing Spark applications and integrating with components in a better manner.

Speakers

Bruce Kuo

Software Engineer, Yahoo!

Chun-Ting Kuo (Bruce) works at Yahoo as a data engineer, and he dedicates his work on developing data products and scientific applications. His experience covers Spark, Hadoop, algorithms, and a little machine learrning. When he is free, he loves to code and know novel techniques... Read More →

Tuesday November 15, 2016 13:00 - 13:50 CET
Giralda I/II

Spark

13:00 CET

Power Pig with Spark - Liyun Zhang, Intel

Apache Pig is a popular scripting platform for processing and analyzing large data sets in the Hadoop ecosystem. With its open architecture and backend neutrality, Pig scripts can currently run on MapReduce and Tez. Apache Spark is an open-source data analytics cluster computing framework that has gained significant momentum recently. Besides offering performance advantages, Spark is also a more natural fit for the query plan produced by Pig. Pig on Spark enables improved ETL performance while also supporting users intending to standardize to Spark as the execution engine.

Speakers

Liyun Zhang

Software Engineer, Intel

Liyun Zhang is a Software Engineer at Intel. She is one of main contributors of Pig on Spark project. Prior to that, she made several contributions to Intel Distribution for Hadoop.

Tuesday November 15, 2016 13:00 - 13:50 CET
Giralda V

Spark

13:00 CET

Sparkler - Crawler on Apache Spark - Karanjeet Singh & Thamme Gowda, USC

A web crawler is a bot program that fetches resources from the web for the sake of building applications like search engines, knowledge bases, etc. In this presentation, Karanjeet Singh and Thamme Gowda will describe a new crawler called Sparkler (contraction of Spark-Crawler) that makes use of recent advancements in distributed computing and information retrieval domains by conglomerating various Apache projects like Spark, Kafka, Lucene/Solr, Tika, and Felix. Sparkler is extensible, highly scalable, and high-performance web crawler that is an evolution of Apache Nutch and runs on Apache Spark Cluster. GitHub Link - https://github.com/USCDataScience/sparkler

Speakers

Thamme Gowda

Graduate Student, University of Southern California

Thamme Gowda is a grad student at the Univ. of Southern California, Los Angeles, CA, and also an intern at NASA Jet Propulsion Laboratory, Pasadena, CA, USA. He is a co-founder of Datoin.com, a software as a service platform built using Hadoop and Spark. He is also a committer and... Read More →

Karanjeet Singh

Research Assistant, University of Southern California

He is pursuing his Master's degree in Computer Science from the University of Southern California (USC). His projects and research are mostly from the area of Information Retrieval and Data Science. He is also affiliated with NASA Jet Propulsion Lab. Prior to this, he was working... Read More →

Sparkler ApacheCon EU pdf

Tuesday November 15, 2016 13:00 - 13:50 CET
Giralda III/IV

Spark

13:50 CET

Lunch Break (Attendees on Own)

Tuesday November 15, 2016 13:50 - 15:30 CET
Lunch Recommendations Available at Registration

Break

14:00 CET

Women in Big Data Luncheon & Program

Limited Capacity seats available

On behalf of Women in Big Data, we'd like to invite you to a luncheon/meetup event taking place Tuesday, November 15.

This luncheon is open to women and allies who are interested in attending to network and collaborate with other like-minded individuals, with the ultimate goal of strengthening and increasing diversity in the big data community. The luncheon is free to attend, but space is limited. Please RSVP here if you'd like to attend.

Luncheon Agenda

1:50pm - WiBD Overview – Anna Marchon

2:00pm - Keynote: Tina Rosario, Global VP, Enterprise Data Management at SAP

2:30pm Keynote: Marina Alekseeva, GM of the Intel Software and Service Group in Russia

3:00pm - Networking

A big thank you to our lunch sponsor, Women in Big Data. For more details on WiBD and how to get involved, visit https://www.womeninbigdata.org/

Speakers

Marina Alekseeva

Director of Software Product Services, Intel SSG

Marina Alekseeva is the General Manager of the Intel Software and Service Group (SSG) in Russia and the Director of Software Product Services, a multinational multifunctional team which provides complete solutions and infrastructure for software production and product delivery. Member... Read More →

Tina Rosario

Tina Rosario - Global Vice President, Enterprise Data Management, SAP

Tina Rosario is a business strategy professional with over 25 years of experience in IT, business process re-engineering, change management and enterprise data management. During her 12 years at SAP, Tina has held executive positions in business operations, consulting services and... Read More →

Tuesday November 15, 2016 14:00 - 15:10 CET
Santa Cruz

Women in Big Data Luncheon

15:30 CET

Low Latency Web Crawling on Apache Storm - Julien Nioche, DigitalPebble Ltd.

StormCrawler is an open source collection of resources, mostly implemented in Java, for building low-latency, scalable web crawlers on Apache Storm. After a short introduction to Apache Storm and an overview of what StormCrawler provides, we will compare it with similar projects like Apache Nutch and present several real life use cases. In particular we will see how StormCrawler can be used with ElasticSearch and Kibana for crawling and indexing web pages and also monitor the crawl itself.

Speakers

Julien Nioche

Director, DigitalPebble Ltd

I run DigitalPebble Ltd, a consultancy based in Bristol, UK and specialising in open source solutions for text engineering. My expertise covers web crawling, natural language processing, machine learning and search. I am a committer on Apache Nutch and am also involved in several... Read More →

Tuesday November 15, 2016 15:30 - 16:20 CET
Giralda III/IV

Crawling

15:30 CET

Your Datascience Journey with Apache Zeppelin - Moon soo Lee, Anthony Corbacho & Jongyoul Lee, NFLabs

Take a journey together to see how Apache Zeppelin started, how Apache Zeppelin helps your data science lifecycle, how Apache Zeppelin became popular TLP project. We'll also see how community focus has been changed, from basic notebook feature, spark integration to advanced features like multi-tenancy. Lee moon soo will explain value of Apache Zeppelin with some key use case scenario demo. Also we'll see eco-system around it - How various projects and companies are using Apache Zeppelin in their product and services in many different ways.

Finally, we'll discuss about Apache Zeppelin's future roadmap with some challenges that community have.

Speakers

Anthony CORBACHO

Jongyoul Lee

Software Development Engineer, ZEPL

I'm a member of PMC of Apache Zeppelin and works at ZEPL. In Apache Zeppelin, I focus on stabilizing Apache Zeppelin to be used in production level, developing some enterprise features and enhancing Apache Spark/JDBC features. Personally, I'm really interested in distributed and fault-tolerant... Read More →

Moon

cto, NFLabs

Moon soo Lee is a creator for Apache Zeppelin and a Co-Founder, CTO at NFLabs. For past few years he has been working on bootstrapping Zeppelin project and itâ€™s community. His recent focus is growing Zeppelin community and getting adoptions.

Tuesday November 15, 2016 15:30 - 16:20 CET
Carmona

Intro

15:30 CET

AMIDST Toolbox: A Java Toolbox for Scalable Probabilistic Machine Learning - Andres Masegosa, NTNU

We would like to present our open source AMIDST toolbox for analysis of large-scale data sets using probabilistic machine learning models. AMIDST runs algorithms in a distributed fashion for learning a wide range of latent variable models such as Gaussian mixtures, (probabilistic) principal component analysis, Hidden Markov Models, Kalman Filter, Latent Dirichlet Allocation, etc. This toolbox is able to learn any user-defined probabilistic (graphical) model with billions of nodes using novel message passing algorithms.

We plan to give an overview of the AMIDST toolbox, some details about the API and the integration with Flink, Spark (and other open source tools) and an analysis of the scalability of our learning algorithms. All this in the context of a real use case scenario in the financial domain (BCC group), where millions of customers profiles are analyzed.

Speakers

Andres Masegosa

Phd, NTNU

I am a research fellow at NTNU (Norway) with broad interests in data mining and machine learning using probabilistic graphical models. Lately, my research has focused on scalable machine learning methods for solving real use cases in the financial (BCC group) and automotive industry... Read More →

Tuesday November 15, 2016 15:30 - 16:20 CET
Estepa

Machine Learning

15:30 CET

Classifying Unstructured Text - Deterministic and Machine Learning Approaches - Christian Winkler & Stephanie Fischer, mgm Technology Partners GmbH

Text is one of the most used forms of communication and ubiquitous in the Internet. Social networks like Facebook and Twitter mainly contain unstructured text; the same is true for content-driven websites.

For humans it is easy to grasp the meaning of text - much more difficult for computers. Used correctly, computers can help humans tremendously in structuring and classifying huge amounts of text. This "symbiosis" can help humans work more efficiently, reduce repetitve work and use the uncovered structure.

Our talk starts with visualizations giving us ideas how to automatically classify texts. Then we will demonstrate that manual intervention is sometimes necessary and how this can be used as a basis for machine learning. This helps significantly in classifying more complicated cases.

As software tools we use R, Apache Solr, D3.js, and several NLP and ML tools from the ASF.

Speakers

Stephanie Fischer

Big Data, Agile and Change Management, mgm consulting partners

I concentrate on user-centricity of Big Data technologies. My focus is finding the questions really worth solving. I think Big Data has the potential to advance humanity into a desirable direction. I have a background in organizational development, agility and business analytics... Read More →

Christian Winkler

Enterprise architect, mgm technology partners GmbH

Christian has worked for 20 years with Internet technologies. Recently, he has focused on working with large amounts of data or many users. As big data applications become more and more popular, lots of applications evolve. Many aggregates have to be calculated to describe charcteristics... Read More →

Tuesday November 15, 2016 15:30 - 16:20 CET
Giralda V

Machine Learning

15:30 CET

User Defined Functions and Materialized Views in Cassandra 3.0 - DuyHai Doan, Datastax

Cassandra is evolving at a very fast pace and keeps introducing new features that close the gap with traditional SQL world, but they are always designed with a distributed approach in mind.

First we'll throw an eye at the recent user-defined functions and show how they can improve your application performance and enrich your analytics use-cases.

Next, a tour on the materialized views, a major improvement that drastically changes the way people model data in Cassandra and makes developers' life easier!

Speakers

Head of Research Group, INFAI

Tuesday November 15, 2016 16:30 - 17:20 CET
Giralda VI/VII

16:30 CET

Apache Sentry - High Availability - Sravya Tirukkovalur & Hao Hao, Cloudera

As big data continues to get bigger, deploying flexible and robust security is more important than ever. In this talk, we'll discuss about Apache Sentry, a central service for policy management and its various pluggable authorization engines which integrates with many Hadoop components. And we will dive deep into how its latest design allows for fault tolerance, high availability and scalability.

Unlike traditional database systems, authorization in Hadoop eco system is a tricky problem due to the fact that there are multiple doors to the same data. Sentry provides a great deal of usability by letting users define policies once and it replicates the state as necessary. With this comes additional challenges of designing a distributed service which manages consistent state. This talk will touch upon core design choices which lie as building blocks to any robust distributed system.

Speakers

Hao Hao

Software Engineer, Cloudera Inc

Hao Hao is a software engineer at Cloudera. She is an active committer and a PMC member of Apache Sentry project. Hao has performed extensive research on smartphone security, web security while she was a PhD student at Syracuse University. Prior to joining Cloudera, Hao worked at... Read More →

Sravya Tirukkovalur

Software Engineer, Cloudera

Sravya Tirukkovalur is a software engineer at Cloudera working on Hadoop security. She is one of the active contributors to the Apache Sentry project and also the PMC Chair. She got her Masters degree from The Ohio State University, with her research focus on High performance and... Read More →

Tuesday November 15, 2016 16:30 - 17:20 CET
Nervion/Arenal I

16:30 CET

Meerkat: Anomaly Detection as a Service - Julien Herzen, Swisscom

Julien will present Meerkat, a system built at Swisscom to do real-time anomaly detection on time series. Meerkat uses a combination of machine learning and big data technologies in order to trigger alerts in case of problems in Swisscom network.

Meerkat monitors arbitrary time series and trains statistical models that can be used to spot anomalies from both batch (historical) and streaming (live) data. It is composed of a Python modules for anomaly detection and data ingestion from Druid, as well as Scala modules using Apache Spark for ingesting from Apache Kafka and Apache Hadoop's HDFS.

Meerkat is currently successfully used at Swisscom to trigger alerts in case of problems with VoIP calls, which represent more than 3 millions phone calls per day.

This is joint work with Khue Vu, who worked on Meerkat for his MSc thesis at EPFL, and the network intelligence team of Swisscom Innovation.

Speakers

Julien Herzen

data scientist, Swisscom

Julien is a data scientist at Swisscom. His experience lies in the areas of machine learning and network algorithms, and his current work includes building analytics and monitoring platforms using big data technologies such as Apache Spark, Druid and Apache Cassandra. He has a PhD... Read More →

Tuesday November 15, 2016 16:30 - 17:20 CET
Giralda V

16:30 CET

The Myth of the Big Data Silver Bullet - Why Requirements Still Matter - Nick Burch, Quanticate

We've all heard the hype - Big Data will solve all your storage, processing and analytic problems effortlessly! As Big Data moves along the adoption cycle, there's a wider range of possible technologies and platforms you could use, but sadly picking the right one still remains crucial to success. Some moving beyond the buzzwords to deploy Big Data find things really do work well, but others rapidly run into issues. The difference usually isn't the technologies or the vendors per-se, but their appropriateness to the requirements, which aren't always clear up-front...

This session won't tell you what Big Data solution you need. Instead, we'll cover some of the pitfalls, and help you with the questions towards working out your requirements in time for your Big Data system to be a success!

Speakers

Nick Burch

CTO, Quanticate

Nick began contributing to Apache projects in 2003, and hasn't looked back since! He's mostly involved in "Content" projects like Apache POI, Apache Tika and Apache Chemistry, as well as foundation-wide activities like Conferences and Travel Assistance.Nick is CTO at Quanticate, a... Read More →

Tuesday November 15, 2016 16:30 - 17:20 CET
Nervion/Arenal II/III

16:30 CET

Avro: Travel Across (r)evolution - Arek Osinski & Darek Eliasz, Allegro Group

In those days, we are generating enormous amount of data. Biggest challenge is hidden in transformation of raw data to knowledge. We would like to take you on a short travel and show our approach for conversion from non-structured world of microservices to the world with Avro schemas inside our data pipelines.

Avro is well known format for storing and online processing information of any kind. What are key features of this format? What are the common problems? Where you can meet pitfails? How this influences our Big Data ecosystem?

Whole story will be covered by examples from real life implementation.

Speakers

Dariusz Eliasz

Senior Data Platform Engineer, Grupa Allegro Sp. z o.o.

Mainly interested in: - big data platform architecture - data governance Enthusiast of scalable distributed solutions, processing large amounts of data and continuous improvement.

Arek Osinski

Senior Data Platform Engineer, Allegro

Works in Allegro Group as a senior data engineer. From the beginning he is related with building and maintaining of Hadoop infrastructure within Allegro Group. Previously he was responsible for maintaining large scale database systems. Passionate about new technologies and cyclin... Read More →

Tuesday November 15, 2016 16:30 - 17:20 CET
Carmona

Intro

16:30 CET

Multi-Tenant Machine Learning with Apache Aurora and Apache Mesos - Stephan Erb, Blue Yonder GmbH

Data scientists care about statistics and fast iteration cycles for their experiments. They should not be concerned with technicalities like hardware failures, tenant isolation, or low cluster utilization. In order to shield its data scientists from these matters, Blue Yonder is using Apache Aurora.

When adopting Aurora, our goal was to run multiple machine learning projects on the same physical cluster. This talk will go into details of this adoption process and highlight key engineering decisions we have made. Particular focus will reside on the multi-tenancy and oversubscription features of Apache Aurora and Apache Mesos, its underlying resource manager.

Audience members will learn about the fundamentals of both Apache projects and how those can be assembled into a capable machine learning platform.

Speakers

Stephan Erb

Software Engineer, Blue Yonder GmbH

Stephan Erb is a software engineer driven by the goal to make Blue Yonder's data scientists more productive. Stephan holds a master's degree in computer science from the Karlsruhe Institute of Technology (KIT). He is a PMC member of the Apache Aurora project and tweets at @ErbSte... Read More →

Tuesday November 15, 2016 16:30 - 17:20 CET
Santa Cruz

Machine Learning

16:30 CET

Ranking the Web with Spark - Sylvain Zimmer, Common Search

Common Search is building an open source search engine based on Common Crawl's monthly dumps of several billion webpages. Ranking every URL on the Web in a transparent and reproducible way is core to the project.

In this presentation, Sylvain Zimmer will explain why Spark is a great match for the job, how the current ranking pipeline works and what challenges it faces to grow in scale and complexity, in order to improve the quality of search results.

Specifically, we will dive in the new Spark 2.0 features that made it practical to compute PageRank from Python on every URL found in Common Crawl, and show how anyone can reproduce and tweak the results on their cloud servers.

Speakers

Sylvain Zimmer

Founder, Common Search

Tuesday November 15, 2016 16:30 - 17:20 CET
Giralda III/IV

Spark

16:30 CET

Writing Apache Spark and Apache Flink Applications Using Apache Bahir - Luciano Resende, IBM

Big Data is all about being to access and process data in various formats, and from various sources. Apache Bahir provides extensions to distributed analytic platforms providing them access to different data sources. In this talk we will introduce you to Apache Bahir and its various connectors that are available for Apache Spark and Apache Flink. We will also go over the details of how to build, test and deploy an Spark Application using the MQTT data source for the new Apache Spark 2.0 Structure Streaming functionality.

Speakers

Luciano Resende

Architect, Spark Technology Center, IBM

Tuesday November 15, 2016 16:30 - 17:20 CET
Giralda I/II

Spark

17:20 CET

Onsite Attendee Reception & Sponsor Showcase

Tuesday November 15, 2016 17:20 - 19:00 CET
Giralda Foyer

Break Sponsor Showcase

07:00 CET

Morning Run

09:55 CET

Keynote: Lessons from the Trenches: How Apache Hadoop is Being Used & The Challenges Its Users Face - John Mertic, Director, ODPi and Open Mainframe Project, Linux Foundation

Apache Hadoop has earned the support of a large & diverse community, with significant interest from businesses, governments, academia & technology vendors – each varying in their goals & objectives for benefiting from the technology. While the distributed data platform’s ecosystem continues to grow, there remains some debate about its ease of adoption & how a wide-range of users can gain business value from it. This session from John Mertic, Director of Program Management for ODPi, will cover how solution providers, app vendors & end users are deploying Apache Hadoop, the daily challenges they face in their environments, how they’d like to use the technology moving forward & much more. Citing insights from ODPi members Capgemini, Linaro & GE, Mertic will break down what he’s learned to demystify the most common Apache Hadoop complexities & barriers to further enterprise adoption.

Speakers

John Mertic

Executive Director, Open Mainframe Project

John Mertic is the Director of Program Management for The Linux Foundation. Under his leadership, he has helped ASWF, ODPi, Open Mainframe Project, and R Consortium accelerate open source innovation and transform industries. John has an open source career spanning two decades, both... Read More →

Wednesday November 16, 2016 09:55 - 10:10 CET
Giralda I/II

Keynote

10:00 CET

BarCampApache

Join us for an ‘unconference’ with no set schedule, facilitated by those involved in various Apache projects. More details and registration information can be found here:
https://wiki.apache.org/apachecon/BarCampApacheSeville

Wednesday November 16, 2016 10:00 - 16:20 CET
Estepa

BarCamp

10:15 CET

Coffee Break

Wednesday November 16, 2016 10:15 - 11:00 CET
Giralda Foyer

Break

11:00 CET

On-Premise, UI-Driven Hadoop/Spark/Flink/Kafka/Zeppelin-as-a-service - Jim Dowling, KTH Royal Institute of Technology

Since April 2016, SICS Swedish ICT has provided Hadoop/Spark/Flink/Kafka/Zeppelin-as-a-service to researchers in Sweden. We have developed a UI-driven multi-tenant platform (Apache v2 licensed) in which researchers securely develop and run their applications. Applications can be either deployed as jobs (batch or streaming) or written and run directly from Notebooks in Apache Zeppelin. All applications are run on YARN within a security framework built on project-based multi-tenancy. A project is simply a grouping of users and datasets. Datasets are first-class entities that can be securely shared between projects. Our platform also introduces a necessary condition for elasticity: pricing. Application execution time in YARN is metered and charged to projects, that also have HDFS quotas for disk usage. We also support project-specific Kafka topics that can also be securely shared.

Speakers

Jim Dowling

CEO, Logical Clocks

Jim Dowling is an Associate Professor at KTH Royal Institute of Technology in Stockholm as well as a Senior Researcher at SICS Swedish ICT. He received his Ph.D. in Distributed Systems from Trinity College Dublin (2005) and worked at MySQL AB (2005-2007). He is lead architect of Hops... Read More →

Wednesday November 16, 2016 11:00 - 11:50 CET
Giralda III/IV

11:00 CET

Why is My Hadoop Cluster Slow? - Steve Loughran, Hortonworks

Apache Hadoop is used to run jobs that execute tasks over multiple machines with complex dependencies between tasks. And at scale, there can be 10äó»s to 1000äó»s of tasks running over 100's to 1000äó»s of machines which increases the challenge of making sense of their performance. Pipelines of such jobs that logically run a business workflow add another level of complexity. No wonder that the question of why Hadoop jobs run slower than expected remains a perennial source of grief for developers. In this talk, we will draw on our experience in debugging and analyzing Hadoop jobs to describe some methodical approaches to this and present current and new tracing and tooling ideas that can help semi-automate parts of this difficult problem.

Speakers

Steve Loughran

Member of Technical Staff, Hortonworks

Wednesday November 16, 2016 11:00 - 11:50 CET
Carmona

11:00 CET

Introduction to Apache Beam - Jean-Baptiste Onofré, Apache Software Foundation & Dan Halperin, Google

Apache Beam is a unified programming model designed to provide efficient and portable data processing pipelines. The same Beam pipelines work in batch and streaming, and on a variety of open source and private cloud big data processing backends including Apache Flink, Apache Spark, and Google Cloud Dataflow. This talk will introduce Apache Beam's programming model and mechanisms for efficient execution. The speakers will show how to build Beam pipelines, and demo how to use it to execute the same code across different runners.

Speakers

Daniel Halperin

Olaf Flebbe

Chief Software Architect

Dr. Olaf Flebbe received his PhD in computational physics in TÃ¼bingen, Germany. He works as the chief software architect at science+computing ag. He is a member of the PMC of Apache Bigtop. Occasionally he gives talks about random projects at various conferences.

Wednesday November 16, 2016 11:00 - 11:50 CET
Giralda I/II

Security

11:00 CET

Shared Memory Layer and Faster SQL for Spark Applications - Dmitriy Setrakyan, GridGain

In this presentation we will talk about the need to share state in memory across different Spark jobs or applications and Apache Ignite as the technology that makes it possible. We will dive into importance of In Memory File Systems, Shared In-Memory RDDs with Apache Ignite, as well as the need to index data in-memory for fast SQL execution. We will also present a hands on demo demonstrating advantages and disadvantages of one approach over another. We will also discuss requirements of storing data off-heap in order to achieve large horizontal and vertical scale of the applications using Spark and Ignite.

Speakers

Dmitriy Setrakyan

EVP Engineering, GridGain

Wednesday November 16, 2016 11:00 - 11:50 CET
Nervion/Arenal I

Spark

11:00 CET

SQL and Streaming Systems - Atri Sharma, Microsoft

The talk shall focus on to design and build systems for stream based data and exploiting the power of SQL and relational algebra on Streaming data using Apache Apex and Apache Calcite.

Speakers

Atri Sharma

SDE-II, Microsoft

Wednesday November 16, 2016 11:00 - 11:50 CET
Giralda VI/VII

Stream

12:00 CET

Get in Control of Your Workflows with Apache Airflow - Christian Trebing, Blue Yonder

Whenever you work with data, sooner or later you stumble across the definition of your workflows. At what point should you process your customeräó»s data? What subsequent steps are necessary? And what went wrong with your data processing last Saturday night?

At Blue Yonder we use Apache Airflow to solve these problems. It can be extended with new functionality by developing plugins in Python. With Airflow, we define workflows as directed acyclic graphs and get a shiny UI for free. Airflow comes with some task operators which can be used out of the box to complete certain tasks. For more specific cases, you can also develop new operators in your plugin.

This talk will explain the concepts behind Airflow, demonstrating how to define your own workflows and how to extend the functionality. Youäó»ll also get to hea about our experiences using this tool in real-world scenarios.

Speakers

Christian Trebing

Senior Software Engineer

Andrew Mcleod

Wednesday November 16, 2016 12:00 - 12:50 CET
Giralda I/II

12:00 CET

Apache Kudu: A Distributed, Columnar Data Store for Fast Analytics - Mike Percy, Cloudera

The Hadoop ecosystem has recently made great strides in its real-time access capabilities, narrowing the gap compared to traditional database technologies. With systems like Apache Spark, analysts can now run complex queries or jobs over large datasets within a matter of seconds. With systems like Apache HBase, applications can achieve millisecond-scale random access to arbitrarily-sized datasets. However, gaps remain when scans and random access are both required.

This talk will investigate the trade-offs between real-time random access and fast analytic performance from the perspective of storage engine internals. It will also describe Apache Kudu, the new addition to the open source Hadoop ecosystem with out-of-the-box integration with Apache Spark, that fills the gap described above to provide a new option to achieve fast scans and fast random access from a single API.

Speakers

Mike Percy

Software Engineer, Cloudera

Mike Percy is a software engineer at Cloudera and a PMC member on Apache Kudu, an open source distributed column store for the Hadoop ecosystem. He is also a PMC member on Apache Flume. Prior to joining Cloudera, Mike worked at Yahoo! building machine learning infrastructure for Big... Read More →

Apache Kudu (Apache Big Data Seville) pdf

Wednesday November 16, 2016 12:00 - 12:50 CET
Nervion/Arenal I

Column

12:00 CET

How Software Engineering Has Changed with Advent of OSS - Nupur Sharma, Ingenium Data Systems

The talk shall explore the business of open source and how open source has changed the way software engineering is done and executed. Earlier, every software process was done as a ballpark project and designed with commercial, non-extensible products in mind.With the new open source paradigm, companies are now driving software development with open source products as the core and leveraging the extensibility of the product itself. In the talk, Nupur shall drive through the thought process of product designers through the 1990s, 2000s and now. Nupur shall explain how organisations are adapting Open Source Software and building their entire business models around them. Driving through some use cases, the transition from closed source to open source in many existing and well thought processes shall be discussed and explored. This shall enlighten any org exploring to move to OSS paradigm.

Speakers

Nupur Sharma

Director, Ingenium Data Systems

A serial entrepreneur, founded GITC in 2005 and currently co founder and CEO of Ingenium Data Systems, a big data startup in India. She is one of India's original commercial software developers, having experience in developing products across a wide spectrum since 1989. She is currently... Read More →

Wednesday November 16, 2016 12:00 - 12:50 CET
Giralda VI/VII

Community

12:00 CET

Performance Tuning Tips for Apache Spark Machine Learning Workloads - Shreeharsha GN & Amir Sanjar, IBM

Performance Tuning tips for Apache Spark Machine Learning workloads - OpenPOWER 8 architecture is the latest offering of IBM SoftLayer, is the perfect platform for evaluating and optimizing Apache Spark solutions. In under 60 minutes from receiving a Sotlayer welcome package to your new bare-metal Power8 server, you can have Hadoop and Spark, along with many other software applications, installed, configured, optimized, and ready to run Spark ML workload. In this talk we will cover: 1) Apache Spark overview 2) Apache Spark software deployment 3) Spark optimization on highly threaded server 4) Demo"

Speakers

Shreeharsha GN

Lead Engineer, AMD

Shreeharsha GN has many years of experience in the field of Performance Engineering for software applications and Java stack optimization, big data software and IBM java stack performance optimization at companies including IBM, Azul systems , HCL, Infosys. He is a SPEC member and... Read More →

Amir Sanjar

Wednesday November 16, 2016 12:00 - 12:50 CET
Santa Cruz

Machine Learning

12:00 CET

Apache CouchDB 2.0 Sync Deep Dive - Jan Lehnardt, Neighbourhoodie Software

This talks takes a deep dive below the magic and explains how to build robust sync systems, whether you want use CouchDB or build your own.

The talk will go through the components of a successful data sync system and which trade-offs you can take that solves your particular problems.

Reliable data sync, from Big Data to Mobile.

Speakers

Jan Lehnardt

CEO, Neighbourhoodie Software

Wednesday November 16, 2016 12:00 - 13:00 CET
Nervion/Arenal II/III

13:00 CET

Highly Scalable Big Data Analytics with Apache Drill - Tom Barber, Meteorite Consulting

Big Data analytics is becoming more and more popular as the query response times improve. We'll look at building and deploying a fully operational and highly scalable Apache Bigtop based Big Data Analytics platform with no code.

In this talk we'll utilise the power of the open source Juju application modelling platform to deploy our software and configure it for us. We'll also discuss deployment options, scalability and resilliency allowing users to get the most from the data.

Speakers

Tom Barber

Technical Director, Spicule LTD

Wednesday November 16, 2016 13:00 - 13:50 CET
Carmona

13:00 CET

Distributed Logistic Model Trees - Mateo Alvarez & Antonio Soriano, Stratio Big Data

Classification algorithms play an important role in different business areas, such as fraud detection, cross selling or customer behavior. In the business context, interpretability is a very desirable property, sometimes even a hard requirement. However, interpretable algorithms are usually outperformed by other non-interpretable algorithms such as Random Forest. In this talk Antonio Soriano will present a distributed implementation in Spark of the Logistic Model Tree (LMT) algorithm (Landwehr, et al. (2005). Machine Learning, 59(1-2), 161-205.), which consists of a decision tree with logistic classifiers in the leafs. While being highly interpretable, the LMT consistently performs equal or better than other popular algorithms in several performance metrics such as accuracy, precision/recall or area under the ROC curve.

Speakers

Mateo Alvarez

Big Data developer/ Data Scientist, Stratio

Mateo Ãlvarez studied aerospace engineering at the Universidad PolitÃ©cnica de Madrid, with a masters degree in Propulsion Systems, and Data Science in the Universidad Rey Juan Carlos. He is passionate about data analysis with Scala, Python and all Big Data technologies, and is curren... Read More →

Antonio Soriano

Wednesday November 16, 2016 13:00 - 13:50 CET
Giralda VI/VII

13:00 CET

Real Time Aggregation with Kafka, Spark Streaming and ElasticSearch, Scalable Beyond Million RPS - Dibyendu Bhattacharya, InstantLogic

While building a massively scalable real time pipeline to collect transaction logs from network traffic, one of the major challenges was performing aggregation on streaming data on the fly. This was needed to compute multiple metrics across various dimensions which help our customer to see near real time views of application delivery and performance. In this talk, learn how we designed our real time pipeline for doing multi-stage aggregation powered by Kafka ,Spark Streaming and ElasticSearch. At InstartLogic we used custom Spark Receiver for Kafka which is used in first stage aggregation. The second stage includes Spark Streaming driven aggregation within given batch window . Final stage aggregation involves custom ElasticSearch plugins to aggregate across Batches. I will cover this multi-stage aggregation,including optimisation across all stages which is scalable beyond million RPS

Speakers

Dibyendu Bhattacharya

Data Platform Engineer, InstartLogic

Dibyendu Holds MS in Software Systems and B.Tech in Computer Science having experience in building applications and products leveraging distributed computing and big data technologies. Presently working as Data Platform Engineer at InstartLogic, the world's first endpoint-aware application... Read More →

Real Time Aggregation with Kafka ,Spark Streaming and ElasticSearch , scalable beyond Million RPS pdf

Wednesday November 16, 2016 13:00 - 13:50 CET
Giralda III/IV

13:00 CET

Scio, a Scala DSL for Apache Beam - Robert Gruener, Spotify

Learn about Scio, a Scala DSL for Apache Beam. Beam introduces a simple, unified programming model for both batch and streaming data processing while Scio brings it much closer to the high level API many data engineers are familiar with. We will cover design and implementation of the framework, including features like type safe BigQuery and REPL. There will also a live coding demo.

Speakers

Robert Gruener

Software Engineer, Spotify

I have been at Spotify for 3 years working on popular music recommendation features such as Discover Weekly and Release Radar. At Spotify I have been a large user of Scalding, Cassandra, and now Scio in order to make sense of our huge amount of data and find the perfect song to present... Read More →

Wednesday November 16, 2016 13:00 - 13:50 CET
Nervion/Arenal II/III

Beam

13:00 CET

Parquet Format in Practice & Detail - Uwe L. Korn, Blue Yonder

Apache Parquet is among the most commonly used column-oriented data formats in the big data processing space. It leverages various techniques to store data in a CPU- and I/O-efficient way. Furthermore, it has the capabilities to push-down analytical queries on the data to the I/O layer to avoid the loading of nonrelevant data chunks. With various Java and a C++ implementation, Parquet is also the perfect choice to exchange data between different technology stacks.

As part of this talk, a general introduction to the format and its techniques will be given. Their benefits and some of the inner workings will be explained to give a better understanding how Parquet achieves its performance. At the end, benchmarks comparing the new C++ & Python implementation with other formats will be shown.

Speakers

Uwe L. Korn

Data Scientist, Blue Yonder GmbH

Uwe Korn is a Data Scientist at the German RetailTec company Blue Yonder. His expertise is on building architectures for machine learning services that are scalably usable for multiple customers aiming at high service availability as well as rapid prototyping of solutions to evaluate... Read More →

Wednesday November 16, 2016 13:00 - 13:50 CET
Nervion/Arenal I

Column

13:00 CET

On the Representation and Reuse of Machine Learning Models - Villu Ruusmann, Openscoring Ltd.

Big Data applications rely on machine learning to derive new value. Model training and deployment are handled by different people in different environments, which makes model transferability a major concern.

This talk inquires into popular R, Scikit-Learn and Apache Spark model types, and connects them at a standardized PMML representation level. PMML adds value to all stages of the workflow, starting from model interpretation, reorganization and persistence, and ending with fully-automated model deployment to schema-full Big Data frameworks.

Attendees will learn that models are not locked-in "black boxes", but easily accessible and programmable components in the application layer. This realization should translate to improved workflows, and smarter and more performant applications.

Speakers

Villu Ruusmann

CTO, Openscoring OÃœ

Villu Ruusmann is the founder and CTO of Openscoring Ltd, a company provides an open source implementation of the Predictive Model Markup Language (PMML) standard. Villu has extensive knowledge about popular machine learning model training and deployment platforms, which he has turned... Read More →

Wednesday November 16, 2016 13:00 - 13:50 CET
Santa Cruz

Machine Learning

13:00 CET

What's With the 1s and 0s? Making Sense of Binary Data at Scale with Tika and Friends - Nick Burch, Quanticate

Large amounts of unknown data seeks helpful tools to identify itself and generate content!

With one or two files, you can take time to manually identify them, and get out their contents. With thousands of files, or the internet's worth, this won't scale, even with mechanical turks! Luckily, there are open source tools and programs out there to help.

First we'll look at how we can work out what a given blob of 1s and 0s actually is, be it textual or binary. We'll then see how to extract common metadata from it, along with text, embedded resources, images, and maybe even the kitchen sink! We'll see how Apache Tika can do all of this for you, along with alternate and additional tools. Finally, we'll look a how to roll this all out on a Big Data scale.

Speakers

Nick Burch

CTO, Quanticate

Wednesday November 16, 2016 13:00 - 13:50 CET
Giralda I/II

Machine Learning

13:00 CET

Apache Ignite - JCache and Beyond - Dmitriy Setrakyan, GridGain

This presentation will provide a good overview of Apache Ignite project including a detailed look into distributed in-memory Data Grid, Compute Grid, Streaming, in memory SQL, and many other components provided by Apache Ignite. We will also go into detail of how existing in-memory caching products and data grids can be used to share memory across Apache Spark jobs and applications. We will also present a hands on demo demonstrating performance benefits of querying shared memory using SQL.

Speakers

Dmitriy Setrakyan

EVP Engineering, GridGain

Wednesday November 16, 2016 13:00 - 13:50 CET
Giralda V

Spark