Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applications on Spark?, Raj Babu, Co-Founder, Magnus Unum, David Levinger, Sr. Director, Paxata and Raymond Fu, Practice Architect, Trace3
In this interactive panel discussion, you will hear from these Spark experts as to why they chose to go "all-in" on Spark, leveraging the rich core capabilities that make Spark so exciting, and committing to significant IP that turns Spark into a world-class enterprise data preparation engine.
Raymond and David will explain specific cases where capabilities were built on top of core Spark to provide a true interactive data prep application experience. Innovations such as creating a Domain Specific Language (DSL), an optimizing compiler, a persistent columnar caching layer, application specific Resilient Distributed Datasets (RDDs), on-line aggregation operators to solve the core memory, pipelining and shuffling obstacles to produce a highly interactive application with the core user and data volume scale-out benefits of Spark.
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Big Data Day LA 2016/ Hadoop/ Spark/ Kafka track - Panel - Interactive Applications on Spark?, Raj Babu, Co-Founder, Magnus Unum, David Levinger, Sr. Director, Paxata and Raymond Fu, Practice Architect, Trace3
1. Unleashing the power of Spark™
Big and small lessons learned on how to take Spark to the next level
Moderated by Raj Babu
Speakers: David Levinger (Paxata) and Raymond Fu (Trace3)