Data sanitization involves intentionally destroying all or part of a stored record. Data sanitization is necessary when you want to ensure that no one can recover information about your business.
Data discovery is a central activity in any data analytics process. It involves identifying appropriate data sources and joining them to create a bigger picture, generating interactive visualizations that make it possible to explore the data, and enabling “mash-ups” of data from different sources to create new, useful datasets.
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