Big data and analytics are becoming more central to organizations in almost every industry, and as they spread, so do the questions that surround them. A significant sticking point — and, in my opinion, one of the more interesting ones — is the way these organizations choose to store their data, and why. Today, there are two major models of how data is stored for analysis: the data warehouse and the data lake. On the surface, they both do the same thing: store data until it’s ready to be called up for processing and analysis. However, the similarities end once…
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https://ift.tt/2wmrDJM Pratik Dholakiya August 24, 2018 at 12:00AM
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