In a new article for CMSWire, Moshe Kranc, chief technology officer for Ness Digital Engineering, discusses data ingestion best practices to consider – i.e. preparing data for analysis – from a transform (cleansing and normalizing data) perspective. These include expecting difficulties and planning accordingly, automating data ingestion, using artificial intelligence (AI), making data ingestion self-service, governing the data to keep it clean, and advertising your cleansed data. Ultimately, these best practices, when taken together, can be the difference between the success and failure of your specific data ingestion projects.
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