A data lake is a central storage repository that holds a large amount of raw data for later use. Since data can be stored as-is, your business doesn’t have to waste its effort on converting, structuring, and filing data until it is needed. This allows a data lake to offer much greater flexibility, cost-effectiveness, and scalability. On the flip side, though, this kind of flexibility can be data lakes’ Achilles heel. An unmanaged data lake can become a “data swamp” if it is used as a dumping ground with poor integrity, poor quality, stewardship, governance, and data protection. In turn, data lakes have historically failed because they often lack any degree of pre-planning. Instead of building their data lakes in accordance with specific needs, organizations were haphazardly dumping data into them, with much of it being useless and unidentifiable. And while the point of a data lake is to eventually have most of your company’s data available to enable a wide variety of analytics, you mus...
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