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NT
Nejc Trnjanin
SMARTIS D.O.O.
Monday
, May 9
10:40am PDT
Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks
Plaza A
11:40am PDT
Using the SDACK Architecture to Build a Big Data Product - Yu-Hsin Yeh, Trend Micro
Plaza B
2:00pm PDT
Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn
Plaza A
3:00pm PDT
Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix
Georgia B
4:10pm PDT
Delivering Realtime and Agile Analytics Using Apache Kafka, Spark & Drill - Neeraja Rentachintala, MapR technologies
Plaza C
5:10pm PDT
Next-Gen Decision Making in Under 2ms - Ilya Ganelin, Capital One Data Innovation Lab
Plaza B
Tuesday
, May 10
9:00am PDT
SQL on Hadoop/Big Data - Architecture, Technology and Roadmap - Sumit Pal, Big Data Consultant
Georgia A
10:00am PDT
Apache Hive 2.0 SQL Speed Scale - Alan Gates, Hortonworks
Georgia A
11:20am PDT
Get the Best Out of Hive and Spark - Xuefu Zhang, Uber
Georgia A
2:00pm PDT
Hive on ACID - Alan Gates, Hortonworks
Georgia A
3:00pm PDT
From Big Data to Mobile Data with Apache CouchDB and PouchDB - Bradley Holt, IBM Cloudant
Plaza B
Wednesday
, May 11
10:50am PDT
Spark After Dark 2.0: Complete End-to-End, Real-time Advanced Analytics, Big Data Reference Pipeline Including Machine Learning, Graph Processing, and Text/NLP Analytics, and Streaming Approximations Using Kafka...
Plaza C
11:50am PDT
Network DVR Meets Big Data - Stephen Kraiman, ARRIS
Plaza B
2:00pm PDT
Combining Machine Learning Frameworks with Apache Spark - Tim Hunter, Databricks, Inc.
Georgia A
3:00pm PDT
Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH
Plaza C
4:10pm PDT
Apache HBase: Overview and Use Cases - Sean Busbey, Cloudera Inc
Plaza A
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Apache: Big Data 2016
America/Los Angeles
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Apache: Big Data 2016
May 8
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12, 2016
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