Blick ins Buch

Big Data Management

Data Governance Principles for Big Data Analytics

Peter Ghavami (Autor)

Buch | Softcover

XVIII, 156 Seiten

2020
De Gruyter (Verlag)
978-3-11-066291-7 (ISBN)

Lese- und Medienproben

Blick ins Buch (midvox)

Artikel merken

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.

Peter Ghavami, Head of IT Development, BI and Data Analytics at Gartner Corporation, Washington D.C., USA

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

Erscheinungsdatum	10.11.2020
Zusatzinfo	26 b/w ill., 9 b/w tbl.
Verlagsort	Berlin/Boston
Sprache	englisch
Maße	170 x 240 mm
Gewicht	312 g
Themenwelt	Sachbuch/Ratgeber ► Beruf / Finanzen / Recht / Wirtschaft ► Wirtschaft
	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Wirtschaft ► Betriebswirtschaft / Management ► Marketing / Vertrieb
	Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
	Wirtschaft ► Volkswirtschaftslehre ► Wirtschaftspolitik
Schlagworte	Analytics • Big Data • data governance • Data lifecycle • Data Management • Hadoop
ISBN-10	3-11-066291-4 / 3110662914
ISBN-13	978-3-11-066291-7 / 9783110662917
Zustand	Neuware