Apache: Big Data Europe 2016
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Monday, November 14

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.


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

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.

avatar for Ingo Simonis

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

13:00 CET

Geospatial Track: Crowd Learning for Indoor Navigation - Thomas Burgess, indoo.rs GmbH
indoo.rs enables location based services for indoor applications. With indoo.rs, developers can add new features to their products, including having locations trigger events, track assets, showing closest routes to other places. For this, we use WiFi/beacon radio infrastructure, mobile devices and our cloud which produce lots of geospatial time series data. The real-time indoor navigation fuses independent movement from custom 9D sensor fusion and position estimates obtained by comparing current signal readings to a reference map. This talk will discuss how we create and maintain these maps in our big data machine learning system which leverages crowd data through Kafka and Spark to run SLAM and context aware algorithms to create high quality trajectories. In addition to use in reference maps, these trajectories provide an additional input for our interactive analytics.

avatar for Thomas Burgess

Thomas Burgess

Director of research, indoo.rs GmbH
Thomas is the CRO of indoo.rs and leads its research efforts since 2012. Earlier, he did his PhD in particle physics at Stockholm University for the AMANDA/IceCube neutrino telescopes, and worked as a postdoctoral researcher at University of Bergen for the ATLAS experiment at the... Read More →

Monday November 14, 2016 13:00 - 13:50 CET

15:30 CET

Processing Planetary Sized Datasets - Tim Park, Microsoft
In my group at Microsoft, we have worked with the United Nations, Guide Dogs for the Blind in the UK, several automotive companies, and Strí_er on a number of projects involving high scale geospatial data.

In this talk, I'll share some of the best practices and patterns that have come out of those experiences: best practices for storing and indexing geospatial data at scale, incremental ingestion and slice processing of the data, and efficiently building and presenting progressive levels of detail.

The audience will walk away with an understanding of how to efficiently summarize data over a geographic area, general methods for doing ingestion with Apache Kafka (or other event ingestion systems), and incremental updates to large scale datasets with Apache Spark, and best practices around visualizing this data on the frontend.

avatar for Tim Park

Tim Park

Principal Software Engineer, Microsoft
Tim is a Principal Software Engineer at Microsoft and works with customers and partners to help them utilize open source platforms on Microsoft’s Azure cloud. He has a particular focus on big data, and, in particular, processing large scale geospatial data. His project experience... Read More →

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