Panel - Interactive Applications on Spark?

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.