Presented By O'Reilly and Cloudera
December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference
Singapore
Jim Scott

Jim Scott
Head of Developer Relations, Data Science, NVIDIA

@kingmesal

Jim Scott is the head of developer relations, data science, at NVIDIA. He’s passionate about building combined big data and blockchain solutions. Over his career, Jim has held positions running operations, engineering, architecture, and QA teams in the financial services, regulatory, digital advertising, IoT, manufacturing, healthcare, chemicals, and geographical management systems industries. Jim has built systems that handle more than 50 billion transactions per day, and his work with high-throughput computing at Dow was a precursor to more standardized big data concepts like Hadoop. Jim is also the cofounder of the Chicago Hadoop Users Group (CHUG).

Sessions

4:15pm–4:55pm Wednesday, December 7, 2016
Becoming a data-centric company
Location: Summit 1
Jim Scott (NVIDIA)
Average rating: *****
(5.00, 2 ratings)
Application developers have long created complex schemas to handle storing with minor relationships in an RDBMS. This talk will show how to convert an existing (complicated schema) music database to HBase for transactional workloads, plus how to use Drill against HBase for real-time queries. HBase column families will also be discussed. Read more.
4:15pm–4:55pm Thursday, December 8, 2016
Data innovations
Location: Summit 2 Level: Beginner
Jim Scott (NVIDIA)
Average rating: ****.
(4.40, 5 ratings)
Everyone is talking about data lakes. The intended use of a data lake is as a central storage facility for performing analytics. But, Jim Scott asks, why have a separate data lake when your entire (or most of your) infrastructure can run directly on top of your storage, ​minimizing or ​eliminating the need for data movement, separate​ processes and​ clusters​,​ and ETL? Read more.