Companies continue to flood their data lakes with billions of records yet struggle to gain the business value they seek. They have found a multitude of ways to get data into Hadoop, but getting data out and getting analysts to drink from the data lake is where they struggle. The architectural limitations of Hadoop have frustrated everyday analysts who seek an interactive, exploratory experience with their big data. SQL on Hadoop and a reinvented enterprise data warehouse stack on Hadoop have failed to deliver the truly interactive experience on the large volumes of data in the lake that everyday analysts seek.
John Morrell explores a solution helping analysts interactively and rapidly explore billions of records in Hadoop, offering a truly interactive experience and ushering in the era of Data Lake 2.0.
This session is sponsored by Datameer.
John Morrell is senior director of product marketing at Datameer, where he leads the go-to-market efforts for the Datameer product family and focuses on how customers use Datameer to solve their business problems. John has a 25-year history in enterprise software, bringing to market numerous enterprise software products and working extensively to help solve difficult business problems in data management, BI, and analytics for such companies as Aleri, Coral8, Active Software, webMethods, Oracle, Informix, and Fair Isaac. John holds an MBA from Bentley College and a BS in computer engineering from Syracuse University.
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