A data lake is essentially a bottomless repository that you can fill with data without having to consider its value or format. Data lakes can store as much unstructured, structured and historical data as a user needs, which makes them excellent for storing data that you may need in the future.
That said, just because data lakes offer so much freedom doesn’t mean that businesses should simply dump all their data into them. If they do, they risk their data lakes becoming one more thing contributing to today’s big data problems.
On the Xplenty blog, we break down how to keep your data lake organized to ensure that the data that it houses stays intelligible, useful and relevant: