Data Analytics Made Accessible: 2017 Edition Book Pdf

Digging deep into the very ideation of the subject and the premise behind analytic thinking, this book defines precisely why big data analytics is so valuable while offering digestible concepts that will serve as the very foundations of everything you do with the digital insights available to you. A real must-read for anyone with a thirst for big data enlightenment.

From Amazon: Digging deep into the very ideation of the subject and the premise behind analytic thinking, this book defines precisely why big data analytics is so valuable while offering digestible concepts that will serve as the very foundations of everything you do with the digital insights available to you. A real must-read for anyone with a thirst for big data enlightenment.

Dr Barry Devlin was a key figure in the development of data warehousing architecture throughout the 1980s. This is his reflection upon development in the field as well as a systematic overview of data engineering and analysis in the current era.

He has published numerous articles and books, including The Data Warehousing Toolkit: Techniques and Techniques for Analyzing Data (Morgan Kaufmann, 2002). He is also the co-author of Building a Data Warehouse (SAMS/WILEY, 2002), The Practical Data Warehouse (SAMS/WILEY, 2002), The Business Value of Data Warehousing and Business Intelligence (IBM Press, 2003), Data Warehouse and Business Intelligence for Dummies (McGraw-Hill/Osborne, 2003), A Primer on Data Mining (McGraw-Hill/Osborne, 2004), and Data Mining Techniques (Morgan Kaufmann, 2006). He is also the author of The Data Warehouse Toolkit, 2nd Edition (SAMS/Thomson-Wadsworth, 2009).

On this note, Devlin covers the following topics:

The Data Inventory

Data Classification

Data Labeling

Data Warehousing

Data Integration

Data Engineering

Analytics

Chapter 1: Big Data: Why Is it Important and What Does it Mean?

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