- Series: The Morgan Kaufmann Series on Business Intelligence
- Paperback: 370 pages
- Publisher: Morgan Kaufmann; 1 edition (June 4, 2013)
- Language: English
- ISBN-10: 0124058914
- ISBN-13: 978-0124058910
- Product Dimensions: 7.5 x 0.8 x 9.2 inches
- Shipping Weight: 1.8 pounds (View shipping rates and policies)
- Average Customer Review: 7 customer reviews
- Amazon Best Sellers Rank: #1,171,088 in Books (See Top 100 in Books)
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Data Warehousing in the Age of Big Data (The Morgan Kaufmann Series on Business Intelligence) 1st Edition
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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."--ComputingReviews.com, 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."--ComputingReviews.com, September 20, 2013 "Data Warehousing in the Age of Big Data is an updated look at the seminal data store of our time, the data warehouse, and how it juxtaposes with the tsunami that is big data. Ripe with relatable examples and perfect for updating core data warehouse knowledge, Krishnan has delivered the guide to not just data success, but business success, in this era of competition on information."--William McKnight, President, McKnight Consulting Group "Krish Krishnan has written the definitive book on Big Data. When it comes to understanding the technology, its implementation, and the actual achievement of business value, this book is THE place to look."--Bill Inmon, Forest Rim Technology
From the Back Cover
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 will help you make sense of how Big Data fits into the world of Data Warehousing in clear and concise detail. You’ll learn what you need to know about your infrastructure options and integration and come away with a solid understanding of how to leverage various architectures for integration. This book includes several business use cases that will really help you visualize reference architectures on Big Data and Data Warehouse.
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- the abuse of bulleted lists
- the important concepts are buried into a lot of details and ancillary information
- also the part of text seems to be a continuous listing of things: what about building ideas upon more basic concepts? What about organic explanations and explicit relationships among the notions?
Now, more specific facts. The introduction about Big Data is not sufficient. It mainly consists of examples of Big Data. The Big Data characteristics (the V's) are mentioned but it's not enough for understanding what Big Data is and which are its peculiarities. The chapter about processing architectures is almost useless. The chapter on Big Data technologies provides a discreet overview, but... you are given a lot of lists. Instead, I appreciated the 5th Chapter, which provides case-studies about Big Data by a business perspective.
In the Data Warehousing part, some terms are used before being introduced (OLTP, ETL, ODS, ..), and the terms "OLAP" and "multidimensional" cannot even be found in the Index... So, also the introduction to DW is not very brilliant.
Of course, this book could be useful. After all, it has content. But I am saying that its quality is not sufficient with respect to what I expect from a book. I have little time and I demand quality, otherwise I can consult the web.
The book is broken up into three sections. In the first section, we learn about Big Data as the author describes what it is, how it can benefit your organization, and offers up some examples. The second section focuses on the data warehouse and some of the newer challenges being faced (such as workload management, cloud computing and in-memory technologies).
Additionally, it is in this section where integration techniques for Big Data and the data warehouse are discussed. The third section deals with issues such as data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data-ready data warehouse.
If your organization has established data warehouses and is looking to embrace Big Data, look no further than Data Warehousing in the Age of the Big Data for advice on how to succeed in those efforts.