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"In conclusion as you come to the end of this book, the concept of a Data Warehouse and its primary goal of serving the enterprise version of truth, and being the single platform for all the source of information will continue to remain intact and valid for many years to come. As we have discussed across many chapters and in many case studies, the limitations that existed with the infrastructures to create, manage and deploy Data Warehouses have been largely eliminated with the availability of Big Data technologies and infrastructure platforms, making the goal of the single version of truth a feasible reality. Integrating and extending Big Data into the Data Warehouse, and creating a larger decision support platform will benefit businesses for years to come. This book has touched upon governance and information lifecycle management aspects of Big Data in the larger program, however you can reuse all the current program management techniques that you follow for the Data Warehouse for this program and evenimplement agile approaches to integrating and managing data in the Data Warehouse. Technologies will continue to evolve in this spectrum and there will be more additions of solutions, which can be integrated if you follow the modular integration approaches to building and managing the Data Warehouse. The Appendix sections contain many more case studies and a special section on Healthcare Information Factory based on Big Data approaches. These are more guiding posts to help you align your thoughts and goals to building and integrating Big Data in your Data Warehouse"--
List of contents
Part 1 - Big Data
Chapter 1 - Introduction to Big Data
Chapter 2 - Complexity of Big Data
Chapter 3 - Big Data Processing Architectures
Chapter 4 - Big Data Technologies
Chapter 5 - Big Data Business Value
Part 2 - The Data Warehouse
Chapter 6 - Data Warehouse
Chapter 7 - Re-Engineering the Data Warehouse
Chapter 8 -Workload Management in the Data Warehouse
Chapter 9 - New Technology Approaches
Part 3 - Extending Big Data into the Data Warehouse
Chapter 10 - Integration of Big Data and Data Warehouse
Chapter 11 - Data Driven Architecture
Chapter 12 - Information Management and Lifecycle
Chapter 13 - Big Data Analytics, Visualization and Data Scientist
Chapter 14 - Implementing The "Big Data" Data Warehouse
Appendix A - Customer Case Studies From Vendors
Appendix B - Building The HealthCare Information Factory
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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
