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.
表中的内容
INTRODUCTION
SECTION I:
INTRODUCTION TO BIG DATA
Introduction to Big Data
The Three Dimensions of Analytics
The Distinction between BI and Analytics
Analytics Platform Framework
Data Management Body of Knowledge (DMBOK)
Data Maturity Model (DMM)
SECTION II:
BIG DATA GOVERNANCE FUNDAMENTALS
Introduction
Top 10 Data Breaches
Case for Big Data Governance
TOGAF View of Data Governance
Data Lake vs. Data Warehouse
History of Hadoop
Hadoop Overview
Security Tools for Hadoop
The Components of Big Data Governance
Myths about Big Data & Hadoop Lake
Enterprise Data Governance Directive:
Big Data Governance Framework: A Lean & Effective Model
The Enterprise Big Data Governance Pyramid
Introduction to Big Data Governance Rules
Organization
Data Stewardship
Master Data Management
Meta Data Management
Security, Privacy & Compliance
Quality Management
Metadata Best Practices
SECTION III:
BIG DATA GOVERNANCE BEST PRACTICES
Data Governance Best Practices
Data Protection
Security Architecture for Data Lake
Data Structure Design
Sandbox Functionality Overview
Split Data Design
SECTION IV:
BIG DATA GOVERNANCE FRAMEWORK PROGRAM
Big Data Governance Framework Program Overview
Summary
关于作者
Peter Ghavami, Senior Vice President, Head of Wholesale Data Science & Analytics at Bank of America, USA
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