DW 2.0: The Architecture for the Next Generation of Data Warehousing is the first book on the new generation of data warehouse architecture, DW 2.0, by the father of the data warehouse. The book describes the future of data warehousing that is technologically possible today, at both an architectural level and technology level.
The perspective of the book is from the top down: looking at the overall architecture and then delving into the issues underlying the components. This allows people who are building or using a data warehouse to see what lies ahead and determine what new technology to buy, how to plan extensions to the data warehouse, what can be salvaged from the current system, and how to justify the expense at the most practical level. This book gives experienced data warehouse professionals everything they need in order to implement the new generation DW 2.0.
It is designed for professionals in the IT organization, including data architects, DBAs, systems design and development professionals, as well as data warehouse and knowledge management professionals.* First book on the new generation of data warehouse architecture, DW 2.0.
* Written by the "father of the data warehouse", Bill Inmon, a columnist and newsletter editor of The Bill Inmon Channel on the Business Intelligence Network.
* Long overdue comprehensive coverage of the implementation of technology and tools that enable the new generation of the DW: metadata, temporal data, ETL, unstructured data, and data quality control.
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About the Author
Table of Contents1. A brief history of data warehousing; 1st generation of data warehouses
2. DW 2.0 – an overview; the components
3. DW 2.0 components
- the interactive sector
- the integrated sector
- the near line sector
- the archival sector
4. The metadata infrastructure; enterprise metadata; business metadata; technical metadata
5. Creating the fluid technological infrastructure for DW 2.0
- the underlying technology approach
- the separation of static and temporal data
- the waterfall approach for operational – like components
- the iterative approach for the DSS environment
7. Statistical and exploration processing
- the exploration warehouse
- sources of data for the exploration warehouse
- heuristic processing
8. Data modeling for the DW 2.0 environment
9. Monitoring the DW 2.0 environment
10. Security in the DW 2.0 environment
11. Time variant data – data structure representation
12. Connectivity – how the different parts of the DW 2.0 environment connect
13. ETL – the role of ETL and the existence of seemingly redundant data
14. The granularity manager
15. Performance across the architecture
16. Migration from 1st generation data warehouses to DW 2.0
17. Cost justification of DSS processing in DW 2.0
18. Data quality in DW 2.0
19. Conditioning unstructured data for entry into the DW 2.0 environment
20. DW 2.0 and the System of Record
21. Miscellaneous Topics
22. Processing in the DW 2.0 Environment
23. Administering the DW 2.0 Environment
Most Helpful Customer Reviews
She stands outside with her hands over her eyes.
* hurtles against a wall*
At depression res 1 voting is held at res 2 see you there!!!!
Touches a weeping angel
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((Supernatural is about two brothers named Sam and Dean Winchester. They hunt supernatural things and destory them. Ex: Ghosts, Demons, Shapeshifters, the occasional Angel.))
._____. Mhmm. Next result, then?
I was thoroughly disappointed with this book. I was excited to pick up the book and start reading it. From that point on, everything went downhill. As an experienced DW professional, I wanted to learn and understand what was new about DW 2.0. I am afraid to say I am still trying to understand what is new. In the preface, the book claims, "Unlike the term 'data warehouse,' DW 2.0 has a crisp, well-defined meaning. That meaning is identified and defined in this book." Unfortunately, that is not the case; it is full of vague generalities and cobbled together concepts that have been around for years. It seems to want to say, "anything you built in the past was wrong, this is right way." That said, it does not really prescribe anything. As far being the "Architecture for the Next Generation of Data Warehousing," that is the biggest stretch for credibility by far. It does cover a lot of data warehousing concepts, sourcing, staging, integrating, and preparing data for consumption. It does highlight the need to extend data warehouses with unstructured data - this may be as close to a new concept as anything in the book - although if you go back to "Building the Data Warehouse," you find that concept there too. The chapter on unstructured data is a pretty good introduction to the subject. The book does talk to metadata, quality, and security. Beyond that, this book is laughable. The chapters on methodology, cost justification, ETL, migration, and life-cycle management are awful. Any Kimball-istas out there will have apoplexy with regard to how data-marts and star schemas are treated - a section in the Miscellaneous chapter. The components of the book that really frustrated me were the illustrations. They were poorly constructed, illuminated, and documented. Often times they had no meaning whatsoever. They were just little squiggles repeated over and over again. My blood would boil when I was told the green box represented one thing while the red box represented something else. For heaven's sake, these were all black and white illustrations. Did anyone edit this book? All in all, I cannot recommend this book to anyone other than experienced data warehouse professionals with untreated hypotension. I think Inmon has done himself a disservice allowing his name to be associated with a book of this poor quality. It is definitely not up to his usual level of thought or insight.