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Big Data Governance: Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics Pages : 202 - Edition : 0 - Type : pdf

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Big Data Governance: Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics (Peter Ghavami PhD)

Shared by le kaka on 2016-09-05

Big Data Governance: Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics Author: Peter Ghavami PhD Pub Date: 2015 Publisher: CreateSpace Independent Publishing Platform ISBN: 978-1519559722 Pages: 202 Language: English Format: EPUB/AZW3 Size: 18 Mb 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.

tags  Tags:  Big Data ,NoSQL ,Hadoop ,Data Analytics 

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