测试
图书封面
题名:
Big Data Management:Data Governance Principles for Big Data Analytics
作者:
Ghavami, Peter
中文译名:
大数据管理:大数据分析的数据治理原则
ISBN:
9783110662917
丛书名:
出版社:
DE Gruyter 2021
类别:
计算机科学 大数据
专题:
计算机科学;
装帧:
paperback;
荐购次数:
0   正常供货,3个月到货
价格:
EUR 59.95
获奖信息
内容简介
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.