Data is the new Gold and Analytics is the machinery to mine, mold and mint it. Data analytics has become core to business and decision making. The rapid increase in data volume, velocity and variety, known as big data, offers both opportunities and challenges. While open source solutions to store big data, like Hadoop and NoSQL offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Organizations that are launching big data initiatives face significant challenges for managing this data effectively. In this book, the author has collected best practices from the world’s leading organizations who have successfully implemented big data platforms. He offers the latest techniques and methods for managing big data effectively. The book offers numerous policies, strategies and recipes for managing big data. It addresses many issues that are prevalent with data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. Topics that cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and information technology leaders who are implementing big data platforms in their organizations.

About the Author:

Peter Ghavami, PhD is a world-class executive and consultant for major corporations in information technology, Informatics and data analytics. He has published numerous books introducing new and modern concepts in IT management. His best-selling books include “Agile, Lean and Six Sigma IT Management” where he combined the trio of quality management principles to IT and “Clinical Intelligence: The Big Data Analytics Revolution in Healthcare” that covers the transformative power of big data analytics to improve healthcare. Dr. Ghavami received his PhD in Industrial & Systems Engineering from the University of Washington. He has been responsible for leading IT organizations with leadership roles as vice president of technology, CIO and Head of Software & Analytics. He is frequently consulted by executives about IT strategy and Big Data Analytics programs.

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Big Data Governance: Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics

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