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.

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)

2. Quick introductions
• Founder of Agile Intelligent Services & Solutions) a Los
Angeles, CA based Cloud & Data ( BI, Big Data, Data
Integration ) engineering services company
• Co-founder of Magnus Unum a Big Data services
company
• Passion and deep technical expertise as Solution
Architect for Big Data/ Data Lake /BI and Analytics
solutions
• Successfully designed, implemented and deployed
over 100+ large implementations
August 12, 2016© Paxata, Inc. 2
Raj Babu, Founder and CEO at Agile iSS LLC

3. Quick introductions
• Runs infrastructure for Paxata, the pioneers of self-
service data preparation
• Supports 55+ enterprise customers who have
deployed Paxata on premise and in the cloud and 90
employees who design innovative solutions
• Optimizes Paxata's development operations and
technology across the entire Hadoop stack and Cloud
environments
August 12, 2016© Paxata, Inc. 3
David Levinger, VP of Operations at Paxata

4. Quick introductions
• Over 16 years of experience in IT specializing in big
data, business intelligence, and enterprise architecture
• Designs big data and analytic solutions within complex
customer environments
• Led many data integrations and warehousing
initiatives from mergers and acquisitions
• Builds, validates and improve business strategy and
tactics through managing, enriching and mining data
August 12, 2016© Paxata, Inc. 4
Raymond Fu, Big Data and Analytics Architect at Trace3

5. Big and small lessons learned on
how to take Spark to the next level
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