Data preparation has always been challenging, but over the past few years as companies increasingly indulge in big data technologies, data preparation has become a mammoth challenge threatening the success of big data, AI, IoT initiatives.

Unlimited data, but limited capacities have led enterprises to use data lakes – a new technology that stores all your data in its natural format.

Unlike data warehouses where the data is cleansed, prepared then stored, data lakes store data in its original form; unprocessed, unprepared, untouched.

In this piece, we’ll specifically talk about data preparation as the most critical challenge and how an ML-based data preparation tool or software can make it easier to process data in the data lake.

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