Description

Book Synopsis

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.



Table of Contents

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

Big Data Management: Data Governance Principles for Big Data Analytics

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    A Paperback by Peter Ghavami


      View other formats and editions of Big Data Management: Data Governance Principles for Big Data Analytics by Peter Ghavami

      Publisher: De Gruyter
      Publication Date: 09/11/2020
      ISBN13: 9783110662917, 978-3110662917
      ISBN10:

      Description

      Book Synopsis

      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.



      Table of Contents

      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

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