Data Warehousing in the Age of Big Data

Author:   Krish Krishnan (Founder and President of Sixth Sense Advisors, Inc., Chicago, Illinois, USA)
Publisher:   Elsevier Science & Technology
ISBN:  

9780124058910


Pages:   370
Publication Date:   26 June 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Warehousing in the Age of Big Data


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Overview

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.

Full Product Details

Author:   Krish Krishnan (Founder and President of Sixth Sense Advisors, Inc., Chicago, Illinois, USA)
Publisher:   Elsevier Science & Technology
Imprint:   Morgan Kaufmann Publishers In
Dimensions:   Width: 19.10cm , Height: 2.30cm , Length: 23.50cm
Weight:   0.760kg
ISBN:  

9780124058910


ISBN 10:   0124058914
Pages:   370
Publication Date:   26 June 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table 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"

Reviews

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


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


Author Information

Krish Krishnan is a recognized expert worldwide in the strategy, architecture and implementation of high performance data warehousing solutions and unstructured Data. A sought after visionary data warehouse thought leader and practitioner, he is ranked as one of the top strategy and architecture consultants in the world in this subject. Krish is also an independent analyst, and a speaker at various conferences around the world on Big Data and teaches at TDWI on this subject. Krish along with other experts is helping drive the industry maturity on the next generation of data warehousing, focusing on Big Data, Semantic Technologies, Crowdsourcing, Analytics, and Platform Engineering.Krish is the founder president of Sixth Sense Advisors Inc., a Chicago based company providing Independent Analyst services in Big Data, Analytics, Data Warehouse and Business Intelligence.

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