One of the ways companies often run into trouble with data lakes is trying to use them as a data warehouse. It’s a “terrible idea, unless it works,” says Merv Adrian, research vice president at Gartner.
It’s an issue that Mark Stange-Tregear, vice president of analytics at Ebates, knows all too well. When Stange-Tregear joined Ebates a little over four years ago, the company didn’t have much of a business intelligence (BI) infrastructure beyond a single SQL server and a handful of data engineers taking a replica of the main production database. They were struggling with the extract, transform, and load (ETL) process.
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(Insider Story)
Read More from This Article: Ebates looks to cloud data lake to resolve ETL dilemma
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