Sep 23–26, 2019
Gil Vernik
Researcher, Cloud Data Services, IBM
Gil Vernik is a researcher in the Storage Clouds, Security, and Analytics Group at IBM, where he works with Apache Spark, Hadoop, object stores, and NoSQL databases. Gil has more than 25 years of experience as a code developer on both the server side and client side and is fluent in Java, Python, Scala, C/C++, and Erlang. He holds a PhD in mathematics from the University of Haifa and held a postdoctoral position in Germany.
Sessions
1:15pm–1:55pm Wednesday, September 25, 2019
Location: 1E 07/08
Secondary topics:
Cloud Platforms and SaaS,
Data Integration and Data Processing
Gil Vernik (IBM)
Most analytic flows can benefit from serverless, starting with simple cases to and moving to complex data preparations for AI frameworks like TensorFlow. To address the challenge of how to easily integrate serverless without major disruptions to your system, Gil Vernik explores the “push to the cloud” experience, which dramatically simplifies serverless for big data processing frameworks.
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