Big Data Governance Managing And Protecting Data Assets
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Big Data Governance: Managing and Protecting Data Assets
"Big Data Governance: Managing and Protecting Data Assets" offers a comprehensive exploration of the principles, practices, and strategies essential for governing vast volumes of data in the digital age. As organizations increasingly rely on big data to drive decision-making and innovation, effective governance becomes paramount to ensure data quality, security, and compliance. This book delves into key topics such as data governance frameworks, privacy regulations, risk management, and ethical considerations. Whether you're a data steward, IT manager, compliance officer, or business leader, this handbook equips you with the insights and tools to establish robust data governance frameworks and safeguard your organization's most valuable asset—its data.
Big Data Management
Author: Peter Ghavami
language: en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date: 2020-11-09
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.
Big Data and Blockchain for Service Operations Management
This book aims to provide the necessary background to work with big data blockchain by introducing some novel applications in service operations for both academics and interested practitioners, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book intends to cover theory, research, development, and applications of big data and blockchain, as embedded in the fields of mathematics, engineering, computer science, physics, economics, business, management, and life sciences, to help service operations management.