Big Data Governance Book Reveals Data Governance Policies for Hadoop and Data Lakes

Washington, DC, March 07, 2016 --(PR.com)-- A new book bout Data Governance for Big Data platforms has been released to production by Peter Ghavami, Ph.D., a well-known international consultant and author of best-selling technology books. This is the author’s fourth book. The book is titled: “Big Data Governance: Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics.”

The book covers topics that are important to data governance for big data, Hadoop and data lake management. These topics include data privacy, data sovereignty, data access controls, data councils, data governance, data quality, meta-data management and implementing an enterprise wide governance structure for big data lake.

“Traditional data governance policies come short when it comes to big data, Hadoop, Spark, data security and user access controls,” said Peter Ghavami, “This book offers a comprehensive look at big data best practices in data governance, data lakes, Hadoop and open source Apache tools.”

The book is written for IT leaders, CIO, CTO, Chief Data Officers, IT professionals, data analysts and data scientists who want to learn how to protect their big data assets systematically and at levels of the enterprise. Companies that have invested in big data analytics can address their big data governance needs with the contents of this book. The book contains a template for data governance policies that can be tailored to any organization.

More information about the book can be found at: http://www.amazon.com/Big-Data-Governance-Management-Principles-ebook/dp/B01AF0L0KS/, and can also be found on Kindle.

The book packs years of consulting experience and best practices by the author, into a readable and easy to implement set of governance policies. The book explains challenges with big data governance and offers tips to managing big data under IT governance.

“Many companies have rushed to build big data lakes with the hope of harnessing the huge benefits that come with big data analytics,” said Peter Ghavami, “However, these companies are facing huge challenges with protecting and governing their big data lakes. They’re starting to realize their data is vulnerable and their risk exposure is higher than expected.”

The book shows how to prepare for big data governance with Hadoop, NoSQL, Impala, and Hive. It covers access control and data management best practices with references to Cloudera Navigator, Sentry, Horton Works Ranger, Apache Atlas and other tools.

About the Author:
Peter Ghavami, Ph.D. is a world renowned consultant and best-selling author of several IT books. He has been consultant and advisor to many Fortune 500 companies in the world for IT strategy, big data analytics, innovation and new technology development. His book on clinical data analytics titled “Clinical Intelligence” has been a best-seller among data analytics books. His first book titled “Lean, Agile and Six Sigma IT Management” is still widely used by IT professionals around the world. His books have been selected as text books by several universities. Dr. Ghavami has over 25 years of experience in technology development, IT leadership, data analytics, supercomputing, software engineering and innovation. He can be reached at peter.ghavami@northwestu.edu.