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 will help you make sense of how Big Data fits into the world of Data Warehousing in
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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.
Product Details
- ISBN-13:
- 9780124058910
- Publisher:
- Elsevier Science
- Publication date:
- 06/10/2013
- Series:
- Morgan Kaufmann Series on Business Intelligence Series
- Pages:
- 370
- Sales rank:
- 699,681
- Product dimensions:
- 7.40(w) x 9.10(h) x 0.80(d)
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
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