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Data Divination: Big Data Strategies by Pam Baker

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CHAPTER 4HOW TO PICK THE “RIGHT” DATA SOURCES

In the minds of data scientists and IT pros who deal with the intricacies of analyzing and storing data, the source of any given data set is not nearly as important as its form. “We ignore the source and focus on working with data based on whether it is structured or unstructured,” said Sunil Kakade, IT Director at Sears, in an interview for this book. And that is as it should be from a technical perspective, because unstructured data is raw and unorganized. Structured data is the opposite: it is highly organized and suited for automated analysis and database integration. Examples of unstructured data are social media posts, emails, the content of books, and a wide assortment of business and personal ...

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