SnapLogic CTO James Markarian Discusses the Evolving Big Data Landscape on theCUBE

SnapLogic was in New York this week for Strata + Hadoop World NYC, and our CTO James Markarian took the opportunity to sit down with Dave Vellante and George Gilbert, hosts of theCUBE, for a wide-ranging discussion on the shifting big data landscape.

James shared his perspective on how data management has changed in recent years, where we are today with big data, how customers should think about data lakes, and the future vision for data, among other topics.

On data lakes, James expressed how there’s much industry discussion around how to populate a data lake, and then how to broker out of the data lake, but the real work is actually around management of data within the data lake which will be increasingly important moving forward. James’s view: don’t think of the data lake as an amorphous, no-rules dumping ground for unstructured data, but rather consider creating multiple “zones” within the data lake, each of which has certain requirements, rules and uses.

On a future vision for data, James acknowledged the considerable progress we’ve made in recent years as we look to the promised land of “data utopia” but, for the enterprise, there’s still so many important questions — about our customers, about our products — for which we seek better answers. James explained, “A lot of it has to do with data availability and our ability to combine that data together. So when I think about the vision for data, and you think about third party stores for data, and then the ability to combine it with data you know something about … and really thinking about solving more problems with data, and how we further eliminate the impedance behind some of those challenges … that’s where things are headed. Hadoop plays a part in this and integration technologies like SnapLogic have a big role in getting that data together and combining it in meaningful ways so we can answer those questions.”

Watch the full video interview with James on theCUBE here.

Category: Data

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