DW 2.0: The Architecture for the Next Generation of Data Warehousing

DW 2.0: The Architecture for the Next Generation of Data Warehousing

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Overview

DW 2.0: The Architecture for the Next Generation of Data Warehousing by W.H. Inmon, Derek Strauss, Genia Neushloss

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.

Product Details

ISBN-13: 9780080558332
Publisher: Elsevier Science
Publication date: 07/28/2010
Sold by: Barnes & Noble
Format: NOOK Book
Pages: 400
File size: 6 MB

About the Author

Best known as the “Father of Data Warehousing,” Bill Inmon has become the most prolific and well-known author worldwide in the big data analysis, data warehousing and business intelligence arena. In addition to authoring more than 50 books and 650 articles, Bill has been a monthly columnist with the Business Intelligence Network, EIM Institute and Data Management Review. In 2007, Bill was named by Computerworld as one of the “Ten IT People Who Mattered in the Last 40 Years” of the computer profession. Having 35 years of experience in database technology and data warehouse design, he is known globally for his seminars on developing data warehouses and information architectures. Bill has been a keynote speaker in demand for numerous computing associations, industry conferences and trade shows. Bill Inmon also has an extensive entrepreneurial background: He founded Pine Cone Systems, later named Ambeo in 1995, and founded, and took public, Prism Solutions in 1991. Bill consults with a large number of Fortune 1000 clients, and leading IT executives on Data Warehousing, Business Intelligence, and Database Management, offering data warehouse design and database management services, as well as producing methodologies and technologies that advance the enterprise architectures of large and small organizations world-wide. He has worked for American Management Systems and Coopers&Lybrand. Bill received his Bachelor of Science degree in Mathematics from Yale University, and his Master of Science degree in Computer Science from New Mexico State University.

Table of Contents

1. 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
6. Methodology
- 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

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DW 2.0: The Architecture for the Next Generation of Data Warehousing 3.9 out of 5 based on 0 ratings. 14 reviews.
Anonymous More than 1 year ago
Walks in
Anonymous More than 1 year ago
She stands outside with her hands over her eyes.
Anonymous More than 1 year ago
* hurtles against a wall*
Anonymous More than 1 year ago
At depression res 1 voting is held at res 2 see you there!!!!
Anonymous More than 1 year ago
Huhuhuh
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Touches a weeping angel
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Anonymous More than 1 year ago
Thanks.
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Anonymous More than 1 year ago
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Anonymous More than 1 year ago
._____. Mhmm. Next result, then?
Dominic_Sagar More than 1 year ago
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.