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Hadoop and Docker: ‘The shift from scale up to scale out’ | #HS16SJ
Big data is faced with jumping the gap between infrastructure teams and the line of business, according to Jonathan Gray, founder and CEO of Cask Data, Inc.
“It’s taken a bit longer for [Hadoop] to mature and grow up in the ecosystem,” determined Gray. One of the most dramatic shifts in Big Data is “seeing the organizations now adapt to how a new software is being used.”
Gray spoke with John Furrier (@furrier) and George Gilbert (@ggilbert41), cohosts of theCUBE, from the SiliconANGLE Media team, at Hadoop Summit 2016 in San Jose, CA. When asked about data lakes, Gray stated, “Data lake is the next data warehouse.”
The next step in Big Data
“That’s the next big gap here, and what is going to make the ecosystem to explode is the business value,” remarked Gray. Particularly, he mentioned “applications and use cases to exist on top,” which extend “all of this great tech into the hands of people who understand the business more.”
Gray observed that Hadoop and Docker are examples of the “shift from scale up to scale out,” a trend that cloud follows as well. He also stated the industry has to “rebuild the layers because previous iterations of operational tools and governance solutions built for relational data centers and three-tier architectures don’t really work in this new world.”
Docker is a “breath of fresh air” in the chaos, declared Gray.
Watch the complete interview below, and be sure to check out more of SiliconANGLE and theCUBE’s coverage of the Hadoop Summit US.
Photo by SiliconANGLE
A message from John Furrier, co-founder of SiliconANGLE:
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