If you want to be successful in mining big data for insights that will move the needle for your business, then the data you’re analyzing needs to be clean, organized, detailed, and well-understood. Raw data lacking the necessary pedigree for analysis can be fixed and shaped—the process of doing so is often referred to as data preparation.
Download this white paper for the details of common big data preparation design patterns that go beyond traditional cleansing, joining, and transformation.
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