October 2019
Beginner to intermediate
674 pages
16h 43m
English
Data modeling is the process of using data to build predictive models. Data can also be used for descriptive and prescriptive analysis. But before we make use of data, it has to be fetched from several sources, stored, assimilated, cleaned, and engineered to suit our goal. The sequential operations that need to be performed on data are akin to a manufacturing pipeline, where each subsequent step adds value to the potential end product and each progression requires a new person or skill set.
The various steps in a data analytics pipeline are shown in the following diagram:

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