Big Data Management: Data Governance Principles for Big Data Analytics

ISBN-13: 9783110662917 / Angielski / Miękka / 2020 / 174 str.

Peter Ghavami

Spis treści

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

O autorze

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