Big Data Management

Peter Ghavami

ISBN 10: 3110662914 / ISBN 13: 9783110662917

Published by De Gruyter, Mercury Learning And Information Nov 2020, 2020

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world's leading organizations that have successfully implemented big data platforms. The topics discussed 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 corporate leaders who are implementing big data platforms in their organizations. 174 pp. Englisch.

Seller Inventory # 9783110662917

Bibliographic Details

• Title: Big Data Management
• Publisher: De Gruyter, Mercury Learning And Information Nov 2020
• Publication Date: 2020
• Language: English
• ISBN 10: 3110662914
• ISBN 13: 9783110662917
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 240W x 170H x 12D millimeters 240 millimeters width by 170 millimeters height by 12 millimeters depth
• Weight: 343 grams

About this title

Synopsis

Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data.

The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed 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 corporate leaders who are implementing big data platforms in their organizations.

About the Author

Peter Ghavami, Senior Vice President, Head of Wholesale Data Science & Analytics at Bank of America, USA