Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Cloudy with a chance of on-prem

Jim Scott (NVIDIA)
10:00am10:30am Tuesday, March 14, 2017
Big data and the Cloud, Data 101, Strata Business Summit
Location: LL20 C Level: Non-technical
Secondary topics:  Cloud
Average rating: ****.
(4.00, 5 ratings)

IT budgets are shrinking, and the move to next-generation technologies is upon us. The cloud is an option for nearly every company, but just because it is an option doesn’t mean it is always the right solution for every problem.

Most cloud providers would prefer that every customer be tightly coupled with their proprietary services and APIs to create lock-in with that cloud provider. The savvy customer will leverage the cloud as infrastructure and stay loosely bound to a cloud provider. This creates an opportunity for the customer to execute a multicloud strategy or even a hybrid on-premises and cloud solution.

Jim Scott explores different use cases that may be best run in the cloud versus on-premises, points out opportunities to optimize cost and operational benefits, and explains how to get the data moved between locations. Along the way, Jim discusses security, backups, event streaming, databases, replication, and snapshots across a variety of use cases that run most businesses today.

Photo of Jim Scott

Jim Scott

NVIDIA

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).