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Apache Big Data Europe 2016

Apache: Big Data Europe 2016
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andrey_kostin

11:00 CET

Hive 2.0 SQL, Speed, Scale - Alan Gates, Hortonworks Nervion/Arenal II/III

12:00 CET

An Overview on Optimization in Apache Hive: Past, Present, Future - Jesús Camacho Rodríguez, Hortonworks Nervion/Arenal II/III

13:00 CET

Uber - Your Realtime Data Pipeline is Arriving Now! - Ankur Bansal, Uber Giralda III/IV Hadoop, Hive, Spark and Object Stores - Steve Loughran, Hortonworks Nervion/Arenal II/III

15:30 CET

Processing Planetary Sized Datasets - Tim Park, Microsoft Carmona Scalable Data Science in R and Apache Spark 2.0 - Felix Cheung, Committer Giralda I/II

11:00 CET

Real Use Cases of Kappa Architecture - Juantomas Garcia, Open Sistemas Nervion/Arenal I Apache HBase: Overview and Use Cases - Apekshit Sharma, Cloudera Carmona

12:00 CET

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

13:00 CET

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

16:30 CET

The Myth of the Big Data Silver Bullet - Why Requirements Still Matter - Nick Burch, Quanticate Nervion/Arenal II/III

11:00 CET

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

12:00 CET

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

13:00 CET

Parquet Format in Practice & Detail - Uwe L. Korn, Blue Yonder Nervion/Arenal I