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.
- Learn how to leverage Big Data by effectively integrating it into your data warehouse.
- Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies
- Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements
|Series:||Morgan Kaufmann Series on Business Intelligence Series|
|Product dimensions:||7.40(w) x 9.10(h) x 0.80(d)|
About the Author
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.
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