Data Preparation: The Case for Using Automated, ML-Based Tools

Data Preparation: The Case for Using Automated, ML-Based Tools

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.

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.

big-data data-preprocessing data-quality data-preparation machine-learning data-preparation-tools latest-tech-stories artificial-intelligence

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