Data Warehousing in the Age of Big Data

by Krish Krishnan

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.

Genres: Technology

370 pages, Paperback

First published January 1, 2013

Reviews

[Ji · Rating 2 out of 5]

This book is too high-level and doesn't provide anything related to data warehousing / ETL architecture with big data - which was hinted in the book title, and was the one reason I picked it up. I'd rate it 2.5 since from the high-level point of view it did offer a lot of quick ideas about what big data is and what data warehousing is. It's just not of much practical use.

[Fausto Betances · Rating 4 out of 5]

Generally good. Some grammar errors.
Good introductory book for those looking to gain Big Data knowledge from an strategic angle.
I recommend it.