Having bread without butter or rice without a curry doesn’t seem enticing, right? In a similar way, you can’t have a successful data lake without having a proven analytics platform that can scale to big data workloads, with built-in security and governance. IBM’s Data and AI Division offers everything from a data virtualization platform that can bring AI and ML to your virtual data lake. If you still fancy building traditional data lakes, IBM BigIntegrate offers a perfect data stage platform with a brand-new IBM BigQuality engine built from the ground up on Spark. And if you’re looking for the best SQL engine for Hadoop or Spark, look no further than IBM Db2 BigSQL.
Satheesh Bandaram and Saumitra Buragohain detail how IBM and Cloudera are advancing AI and ML for their customers with solutions to build on-premises or cloud-based secure governed data lakes. Join them to hear how the two companies are driving innovation, process improvements, and better customer interactions for modern analytic applications.
This session is sponsored by IBM.
Satheesh Bandaram is an executive director for big data and data virtualization within the R&D organization at IBM. Key offerings include IBM Db2 BigSQL, IBM BigReplicate, and the newly launched data virtualization technology that is available for private and public cloud deployments using IBM Cloud Private for Data.
Saumitra Buragohain is a vice president of product management for Hortonworks Data Platform (HDP). During his tenure, Saumitra led the launch of HDP 3.0.0 and first DataPlane application, Data Lifecycle Manager, from concept to business case to release. Saumitra holds an MBA from Santa Clara University and an MSEE from the University of Southern California.
©2019, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com