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stephane drouin

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stephane drouin
Monday, May 9
 

10:40am PDT

The Evolution of Apache Kylin: Realtime and Plugin Architecture in Kylin2 - Luke Han, Apache Kylin Regency E Apache Hadoop 3 Current Status - Akira Ajisaka, NTT DATA Regency B Streaming SQL with Apache Calcite - Julian Hyde, Hortonworks Plaza A

2:00pm PDT

Apache Bigtop: Overview and 2016 Community Update - Nate DAmico, Reactor 8 & Konstantin Boudnik, Memcore Regency B Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn Plaza A

3:00pm PDT

Managing Enterprise Hadoop Clusters with Apache Ambari - Jayush Luniya, Hortonworks Regency A Introduction to Apache Kudu (Incubating) for Timeseries Storage - Dan Burkert, Cloudera Regency E 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 Next Gen Big Data Analytics with Apache Apex - Thomas Weise, DataTorrent Georgia A YARN: A Resource Manager for Analytic Platform - Tsuyoshi Ozawa, NTT Regency A

5:10pm PDT

The New Time Series Kid on the Block - Florian Lautenschlager, QAware GmbH Regency E Building a Durable Real-Time Data Pipeline: Apache BookKeeper at Twitter - Sijie Guo & Leigh Stewart, Twitter Georgia B Speaking the Language of Big Data - With Apache Avro and Apache Thrift - Ranganathan Balashanmugam, ThoughtWorks Plaza A
 
Tuesday, May 10
 

9:00am PDT

Shared or Distributed HDFS - What’s Right for Me? - Janet George, SanDisk Regency B SQL on Hadoop/Big Data - Architecture, Technology and Roadmap - Sumit Pal, Big Data Consultant Georgia A

10:00am PDT

Kafka at Peak Performance - Todd Palino, Linkedin Regency A Breaking Spark: Top 5 Mistakes to Avoid When Using Apache Spark in Production - Neelesh Srinivas Salian, Cloudera Georgia B Apache Hive 2.0 SQL Speed Scale - Alan Gates, Hortonworks Georgia A

11:20am PDT

Streaming Data Integration at Scale with Kafka - Ewen Cheslack-Postava, Confluent Regency A A Java Implementer’s Guide to Boosting Apache Spark Performance - Tim Ellison, IBM Georgia B

2:00pm PDT

On the Fly Retraining of Predictive Analytical Models Using Spark Streaming: An Equity-price Direction Prediction Case Study - Tijl Carpels, Ghent University Plaza C

3:00pm PDT

Using Kafka and Kudu for Fast, Low-latency SQL Analytics on Streaming Data - Mike Percy & Ashish Singh, Cloudera Georgia A
 
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

3:00pm PDT

Monitoring in a Distributed World - Felix Massem, codecentric AG Georgia B Time Series Processing with Apache Spark - Josef Adersberger, QAware GmbH Plaza C

4:10pm PDT

Distributed Machine Learning with Apache Mahout - Suneel Marthi, Red Hat Georgia A Effective HBase Healthcheck and Troubleshooting - Jayesh Thakrar, Conversant Georgia B Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc Plaza B