Big Data Management

Ghavami, Peter

dc.contributor.author	Ghavami, Peter
dc.date.accessioned	2023-08-25T07:36:00Z
dc.date.available	2023-08-25T07:36:00Z
dc.date.issued	2020-11-09
dc.identifier.issn	978-3110662917
dc.identifier.uri	http://elib.ipa.government.bg:8080/xmlui/handle/123456789/1285
dc.description	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.	bg_BG
dc.language.iso	en	bg_BG
dc.publisher	De Gruyter	bg_BG
dc.relation.isbasedon	Сигн: 700
dc.title	Big Data Management	bg_BG
dc.title.alternative	Data Governance Principles for Big Data Analytics	bg_BG
dc.type	Book	bg_BG