Scale Matters: Massively Parallel Postgres
Jacque Istok serves as the Head of Data for Pivotal, responsible for setting both data strategy and execution of pre and post sales activities for data engineering and data science. Prior to that, he was Field CTO helping customers architect and understand how the entire Pivotal portfolio could be leveraged appropriately. A hands on technologist, Mr. Istok has been implementing and advising customers in the architecture of big data applications and back end infrastructure the majority of his career. Prior to Pivotal, Mr. Istok co-founded Professional Innovations, Inc. in 1999, a leading consulting services provider in the business intelligence, data warehousing, and enterprise performance management space, and served as its President and Chairman. Mr. Istok is on the board of several emerging startup companies and serves as their strategic technical advisor.
Ivan has been working on big data, databases, and enterprise systems since 2002. He spent 5 years in the financial industry building trading systems; worked at Yahoo on the data warehouse system before Hadoop was created; hacked on a MySQL storage engine for a year and has spent the last 7 years in various capacities working on the Pivotal Greenplum product. Ivan’s passion is building next-generation data platforms. In his free time, he has also been a beginning yoga student for the last 10 years. Born and raised in NYC Ivan is now is enjoying the California lifestyle where has resided since 2006.
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More than 2.5 quintillion bytes of data are created each and every day—and at that rate: Scale Matters. Database workloads at scale are driving some of the most impactful use cases in the world, helping to solve both industry and government’s most interesting problems. Join two of Pivotal’s data thought leaders to hear about how to solve these problems leveraging Postgres at scale, and learn what’s next when it comes to creating a modern data ecosystem for a cloud native world.
- 2019 March 20 10:50 EDT
- 20 min
- New York Ballroom East
- Postgres Conference
- General Session