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EL

Ed Lo

Electronic Arts
Monday, May 9
 

10:40am PDT

Building Distributed Systems Using Apache Helix - Aditya Auradkar, LinkedIn Regency A The Evolution of Apache Kylin: Realtime and Plugin Architecture in Kylin2 - Luke Han, Apache Kylin Regency E Big Data DumbOps - Kevin Monroe, Canonical Georgia B

11:40am PDT

Using the SDACK Architecture to Build a Big Data Product - Yu-Hsin Yeh, Trend Micro Plaza B Big Data in Biology - Omkar Reddy, Dirubhai Ambani University, India Georgia B

2:00pm PDT

SMACK Stack - Data Done Right - Stefan Siprell, codecentric AG Georgia A Will It Scale? The Secrets Behind Scaling Stream-processing Applications - Navina Ramesh, LinkedIn Plaza A

3:00pm PDT

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 On the Bleeding Edge - Cassandra 3.4 and Beyond - Jonathan Haddad, Datastax Regency B

5:10pm PDT

Large Scale SolrCloud Cluster Management via APIs - Anshum Gupta, IBM Watson Regency A The New Time Series Kid on the Block - Florian Lautenschlager, QAware GmbH Regency E
 
Tuesday, May 10
 

9:00am PDT

Apache Kafka at Rocana - Alan Gardner, Rocana Regency A Wikimedia Content API: A Cassandra Use-case - Eric Evans, Wikimedia Foundation Plaza B Cancer Outlier Profile Analysis Using Spark - Mahmoud Parsian, Illumina, Inc. Georgia B

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

11:20am PDT

Cassandra Multi-datacenter Operations Essentials - Julien Anguenot, iland Internet Solutions, Corp Plaza B

2:00pm PDT

Building a Self-serve Kafka Ecosystem - Joel Koshy, LinkedIn Regency A 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

Apache Flume or Apache Kafka? How About Both? - Jayesh Thakrar, Conversant Regency A
 
Wednesday, May 11
 

10:50am PDT

Tailored for Spark - Petr Igrevski, eBay Plaza B

11:50am PDT

Experiences Using Apache HTrace (Incubating) in Distributed Web Search - Lewis McGibbney, NASA JPL Georgia B

2:00pm PDT

Combining Machine Learning Frameworks with Apache Spark - Tim Hunter, Databricks, Inc. Georgia A

3:00pm PDT

Real-world Analytics with Solr Cloud and Spark - Johannes Weigend, QAware GmbH Georgia A 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 Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc Plaza B

5:10pm PDT

Mining Public Datasets Using Apache Zeppelin (incubating) and Spark - Alexander Bezzubov, NFLabs Plaza C