Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
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

12:05–12:45 Wednesday, 23 May 2018
Using a global data fabric to run a mixed cloud deployment
Data engineering and architecture, Streaming systems and real-time applications
 Location: S11A Level: Beginner
Jim Scott (NVIDIA)
Average rating: ****.
(4.00, 2 ratings)
Creating a business solution is a lot of work. Instead of building to run on a single cloud provider, it is far more cost effective to leverage the cloud as infrastructure as a service (IaaS). Jim Scott explains why a global data fabric is a requirement for running on all cloud providers simultaneously. Read more.