GoodReads.com Picks Book Titled Big Data Governance on Its Recommended List
Book Titled Big Data Governance Reveals Security Vulnerabilities and Best Practices to Secure Hadoop through Proper Governance
Bellevue, WA, August 19, 2016 --(PR.com)-- GoodReads.com adds a book titled Big Data Governance: Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics to its list of recommended books. The book offers simple and ready-to-use templates for implementing data governance for big data initiatives.
The book offers architectural diagrams and blueprints for successful implementation of data governance for big data lakes using Hadoop instances such as Cloudera, Horton Works and MAPR.
The book includes several chapters that highlight the security and data governance gaps associated with Hadoop and several solution components to develop data governance structure, organization and software platform. 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, Horton Works, and MAPR.
“Many IT organizations are finding their data governance policies either inadequate or incomplete when it comes to their massive big data lakes,” said Peter Ghavami, “This book identifies gaps in data governance across enterprise. It’s an excellent handbook for IT security professionals because it offers ready-to-use template and recipes for building a data governance structure including key policies that must be considered for an enterprise wide data governance initiative.”
The book 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-Principles-ebook/dp/B01AF0L0KS/.
The book reveals secrets to simple and low cost implementations of data governance across the enterprise. 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, “IT professionals and security consultants will love this book since it contains a data governance handbook template that can be easily adopted as a starting point for drafting big data governance policies for organizations of any size,” 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.
“One of the challenges in developing data governance is spotting which policies to adopt and in what hierarchy,” said Peter Ghavami, “Big Data Governance offers specific policy templates for proper data security measures such as file structures, access controls and privacy methods such as tokenization. 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 (https://www.amazon.com/Clinical-Intelligence-Analytics-Revolution-Healthcare/dp/1500428590/) and a book titled Big Data Analytics Methods (https://www.amazon.com/Big-Data-Analytics-Methods-Techniques/dp/1530414830). His first book titled Lean, Agile and Six Sigma IT Management is still widely used by IT professionals around the world (https://www.amazon.com/Agile-Sigma-Information-Technology-Management/dp/1440478120/). 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.
The book offers architectural diagrams and blueprints for successful implementation of data governance for big data lakes using Hadoop instances such as Cloudera, Horton Works and MAPR.
The book includes several chapters that highlight the security and data governance gaps associated with Hadoop and several solution components to develop data governance structure, organization and software platform. 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, Horton Works, and MAPR.
“Many IT organizations are finding their data governance policies either inadequate or incomplete when it comes to their massive big data lakes,” said Peter Ghavami, “This book identifies gaps in data governance across enterprise. It’s an excellent handbook for IT security professionals because it offers ready-to-use template and recipes for building a data governance structure including key policies that must be considered for an enterprise wide data governance initiative.”
The book 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-Principles-ebook/dp/B01AF0L0KS/.
The book reveals secrets to simple and low cost implementations of data governance across the enterprise. 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, “IT professionals and security consultants will love this book since it contains a data governance handbook template that can be easily adopted as a starting point for drafting big data governance policies for organizations of any size,” 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.
“One of the challenges in developing data governance is spotting which policies to adopt and in what hierarchy,” said Peter Ghavami, “Big Data Governance offers specific policy templates for proper data security measures such as file structures, access controls and privacy methods such as tokenization. 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 (https://www.amazon.com/Clinical-Intelligence-Analytics-Revolution-Healthcare/dp/1500428590/) and a book titled Big Data Analytics Methods (https://www.amazon.com/Big-Data-Analytics-Methods-Techniques/dp/1530414830). His first book titled Lean, Agile and Six Sigma IT Management is still widely used by IT professionals around the world (https://www.amazon.com/Agile-Sigma-Information-Technology-Management/dp/1440478120/). 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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https://www.createspace.com/5900235
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