Big Data Governance Reveals Best Practices for Security and Data Privacy for Big Data Lake, Hadoop, Cloudera and Hortonworks
Big Data Governance Best Practices
WASHINGTON – July 22, 2016 – PRLog — A book titled Big Data Governance: Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics was released on Amazon.com, today. The book reveals secrets to overcome challenges of data governance in Hadoop and big data lakes. The book is the first of its kind that simplifies data governance of Hadoop and NoSQL data repositories with ready-to-use templates and policy guidelines. The book is available from Amazon.com.
The book offers advice and best practices for creating data governance structure from grounds up, in particular for big data initiatives. It 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 data lifecycle management for Hadoop infrastructures such as Cloudera, Hortonworks, and MAPR.
“Hadoop is an excellent distributed processing technology but was not designed with security and privacy in mind”, said Peter Ghavami, “This book identifies gaps that exist in big data environments from data governance perspective. It’s an excellent handbook for IT security professionals. It offers a comprehensive look at big data best practices in data governance, data lakes, Hadoop and open source Apache tools”.
More information about the book can be found at: http://www.amazon.com/ Big-Data-Governance- Management-Prin…, and https://www.createspace.com/ 5900235.
The book reveals several architectural blueprints for securing data in data lakes. It suggests several architectural drawings for authentication, security, data privacy and access controls including Sentry, Kerberos, Ranger and other Apache tools such as the Atlas project.
“Creating a data governance guideline from scratch is not easy, in particular for big data analytics”, said Peter Ghavami, “This book contains a data governance handbook template that can be easily adopted as a starting point for drafting big data governance policies”, the author added.
The book is written for IT leaders, CIO, CTO, Chief Data Officers, Chief Security Officers, IT security professionals, consultants, data analysts and data scientists who want to learn how to protect their big data assets and bring the entire enterprise data analytics under governance.
“Big Data Governance is a unique book because it offers specific examples and templates for proper data security measures such as file structures, access controls and privacy methods such as tokenization” , said Peter Ghavami, “The book saves IT professionals a lot of time and consulting costs since it includes ready-to-use policies and governance templates for big data”.
The book packs years of consulting experience and best practices by the author, into a readable and easy to read handbook. The book explains challenges with big data security, best practices for securing data and offers tips and best practices for forming organizational structures, the role of data custodians, data stewards and data risk officers.
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 application of analytics to clinical data titled Clinical Intelligence is a best-selling book in healthcare. His first book titled Lean, Agile and Six Sigma IT Management (https://www.createspace.com/ 3361323)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.
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