Data Warehousing in the Age of Big Data

1st Edition

Print ISBN: 9780124058910
eBook ISBN: 9780124059207
Imprint: Morgan Kaufmann
Published Date: 21st May 2013
Page Count: 370
34.95 + applicable tax
27.99 + applicable tax
45.95 + applicable tax
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Institutional Access


Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse.

As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory.

Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse.

Key Features

  • Learn how to leverage Big Data by effectively integrating it into your data warehouse.
  • Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies
  • Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements


Technical/Enterprise architects, Data Warehouse & Big Data professionals, developers, managers and business analysts.

Table of Contents



About the Author


Part 1: Big Data

Part 2: The Data Warehousing

Part 3: Building the Big Data – Data Warehouse


Companion website

Part 1: Big Data

Chapter 1. Introduction to Big Data


Big Data

Defining Big Data

Why Big Data and why now?

Big Data example


Further reading

Chapter 2. Working with Big Data


Data explosion

Data volume

Data velocity

Data variety


Chapter 3. Big Data Processing Architectures


Data processing revisited

Data processing techniques

Data processing infrastructure challenges

Shared-everything and shared-nothing architectures

Big Data processing

Telco Big Data study

Chapter 4. Introducing Big Data Technologies


Distributed data processing

Big Data processing requirements

Technologies for Big Data processing



Textual ETL processing

Further reading

Chapter 5. Big Data Driving Business Value


Case study 1: Sensor data

Case study 2: Streaming data

Case study 3: The right prescription: improving patient outcomes with Big Data analytics

Case study 4: University of Ontario, institute of technology: leveraging key data to provide proactive patient care

Case study 5: Microsoft SQL server customer solution

Case study 6: Customer-centric data integration


Part 2: The Data Warehousing

Chapter 6. Data Warehousing Revisited


Traditional data warehousing, or data warehousing 1.0

Data warehouse 2.0


Further reading

Chapter 7. Reengineering


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© Morgan Kaufmann 2013
Morgan Kaufmann
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"This book argues that big data, with its three key dimensions of volume, velocity, and variety, presents a challenge that data analysts can’t ignore…the author considers how new technologies such as cloud computing, data virtualization, and solid-state drives (SSDs) will affect data warehousing…Overall, I found the book easy to read and understand. It’s written from the perspective of a practitioner; as such, it is meant for a hands-on person.", December 13, 2013
"Many times people confuse Big Data as a replacement for the data warehouse, but that is not true… and this book will help you and your organization understand how the two can co-exist…If your organization has established data warehouses and is looking to embrace Big Data, look no further than Data Warehousing in the Age of Big Data for advice on how to succeed in those efforts."--Data and Technology Today blog, August 8, 2013
"Krishnan, an expert on data warehousing, explains how Web 2.0 (e.g., Google, Facebook, Groupon) has transformed the way business is conducted. Krishnan traces the emergence of the data warehouse and discusses its technologies, processing architectures and challenges, and how to integrate big data and data warehousing."--Reference & Research Book News, October 2013
"Content-wise, the book targets two audiences. Readers coming from a data warehousing background will learn where big data fits in and how specific challenges can be addressed. For readers working in a big data community, the book will be very valuable for understanding the link between big data and data warehousing. For both groups, the book is an excellent and welcome addition to the literature.", September 20, 2013
"Data Warehousing in the Age of Big Data is an updated look at the seminal data store of our ti