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

Data lakes store data in its natural form; unprocessed, unprepared, untouched, untouched. Data lakes make it even more difficult for business users to use the data for its intended purpose. The four Vsof big data – volume, variety, velocity, and veracity make it impossible for companies to hang on to traditional methods. Automated data preparation solutions can help companies clean, prepare and process data in real-time without relying on IT or dedicated data analysts. The solution must tackle challenges as: cleaning, parsing, deduping and packaging data for use in a data lake.