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TC

Tracy Chen

10:40am

Big Data DumbOps - Kevin Monroe, Canonical Georgia B

11:40am

Using the SDACK Architecture to Build a Big Data Product - Yu-Hsin Yeh, Trend Micro Plaza B

2:00pm

SMACK Stack - Data Done Right - Stefan Siprell, codecentric AG Georgia A

3:00pm

Netflix Keystone - How We Built a 700B/day Stream Processing Cloud Platform in a Year - Peter Bakas, Netflix Georgia B

4:10pm

Delivering Realtime and Agile Analytics Using Apache Kafka, Spark & Drill - Neeraja Rentachintala, MapR technologies Plaza C

5:10pm

Speaking the Language of Big Data - With Apache Avro and Apache Thrift - Ranganathan Balashanmugam, ThoughtWorks Plaza A

9:00am

Wikimedia Content API: A Cassandra Use-case - Eric Evans, Wikimedia Foundation Plaza B

10:00am

SASI - A Revolution for Secondary Indexes in Cassandra - Hanneli Tavante, Codeminer 42 Plaza B

11:20am

Streaming Data Integration at Scale with Kafka - Ewen Cheslack-Postava, Confluent Regency A

2:00pm

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

3:00pm

Enabling Universal Authorization Models Using Sentry - Hao Hao & Anne Yu, Cloudera Regency E

10:50am

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

Introducing Datasets: Bringing Compile Time Type Checking and Functional Transformations to Spark DataFrames - Holden Karau, IBM Plaza C

12:40pm

Lunch Regency Foyer

2:00pm

Shared Memory Layer for Spark Applications - Dmitry Setrakyan, GridGain Plaza C

3:00pm

Scylla: A Revolutionary Design for NoSQL Performs at 1.8M TPS/node - Don Marti & Tzach Livyatan, ScyllaDB Plaza B

4:10pm

Data Science for the Datacenter: Analyzing Logs with Apache Spark - William Benton, Red Hat, Inc Plaza B