How Data Platforms Expand the Capabilities of Data Warehouses (VIDEO)

Video produced by Steve Nathans-Kelly

At Data Summit 2019, Lynda Partner, Pythian VP of marketing, explained why customers are adopting data platforms in their migration to the cloud.

"When we move people to the cloud with their data warehouses, they're not just stopping at a data warehouse," said Partner. "The data warehouse is almost inevitably the first step, but then it expands beyond the data warehouse, to what we're calling a data platform. If you think of a data platform as a data warehouse plus the data light, plus ETL, plus processing, then suddenly you have something that's much bigger and much more powerful and much more flexible than simply the traditional data warehouse"

It is really all about eliminating data silos, said Partner. "And data warehouses aren't particularly good at it, but data platforms are really good at it. I think the largest that we've seen so far is about a 1,000 data sources that have been fully integrated into a platform. It was a massive project, but it worked out flawlessly from their perspective. It was hard."

DBTA’s next Data Summit conference will be held May 19-20, 2020, in Boston, with pre-conference workshops on Monday, May 18.

Lee talked about it; Michael talked about it; it's hard. But it's doable. And the data sources that they're bringing in are from everywhere. They are files from SaaS products, they're JSON, they're streaming data, there's basically no limit to it.

The beauty of the cloud is that it provides you with that flexibility, and the ability to incorporate just about anything. Because it's not about the data that you have today; it's about the data that you're gonna have tomorrow as well.

Many presenters have made their slide decks available on the Data Summit 2019 website at

To access the vido of Partner's full presentation, "A Big Data Reality Check: A View from the Front Lines of Data Analytics," go to