Data Warehousing in the Age of Big Data

"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"--

Autorentext
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.

Klappentext
Helps readers to make the most of unstructured data with their existing Data Warehouse.

Zusammenfassung
Helps you 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 can really help you visualize reference architectures on Big Data and Data Warehouse.

Inhalt

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