Explore a preview version of Corporate Information Factory right now. Today's corporate IT and data warehouse managers are required to make a small army of technologies work together to ensure fast and accurate information for business managers. Bill Inmon created the Corporate Information Factory to solve the needs of these managers. Since the First Edition, the design of the factory has grown and changed dramatically.
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Would you like to tell us about a lower price? If you are a seller for this product, would you like to suggest updates through seller support? The "father of data warehousing" incorporates the latest technologies into his blueprint for integrated decision support systems Today's corporate IT and data warehouse managers are required to make a small army of technologies work together to ensure fast and accurate information for business managers.
Bill Inmon created the Corporate Information Factory to solve the needs of these managers. Since the First Edition, the design of the factory has grown and changed dramatically. This step-by-step guide will enable readers to connect their legacy systems with the data warehouse and deal with a host of new and changing technologies, including Web access mechanisms, e-commerce systems, ERP Enterprise Resource Planning systems.
The book also looks closely at exploration and data mining servers for analyzing customer behavior and departmental data marts for finance, sales, and marketing. Read more Read less. From the Back Cover The father of the data warehouse incorporates the latest technologies into his blueprint for integrated decision support systems Having invented the corporate information factory CIF to help IT and database managers cut through the jungle of information technologies out there, bestselling author Bill Inmon again teams up with experts Claudia Imhoff and Ryan Sousa to show you how to integrate all key components of the modern information system architecture in a way that meets your evolving business needs.
You'll get clear explanations on how to integrate the enterprise data warehouse with a host of new technologies and solutions that have emerged since this groundbreaking work was first published in You'll also discover how to leverage these technologies to ensure broad access to information for end users, while reducing costs and improving scalability across the enterprise. INMON, the acknowledged "father of data warehousing," is a partner in www. He has written over 40 books on databases, database management, and data warehouse technology, including the recently published Exploration Warehousing Wiley.
Inmon is also a frequent speaker at leading industry conferences and contributes to DM Review. Imhoff has coauthored three books dealing with different aspects of the corporate information factory, including Building the Customer-Centric Enterprise Wiley , and is a columnist for business and technology magazines.
He is coauthor of Data Warehouse Performance Wiley and can be contacted at rwsousa earthlink. No customer reviews. How does Amazon calculate star ratings? The machine learned model takes into account factors including: the age of a review, helpfulness votes by customers and whether the reviews are from verified purchases. Review this product Share your thoughts with other customers.
Write a customer review. Most helpful customer reviews on Amazon. Verified Purchase. As noted by other reviewers, I would agree that this text is fairly high level and a good starter for getting the basic information and terminology of what a data warehouse is and does.
As also noted by others, I felt many of the illustrations were not necessary and did not provide much help in visualizing any of the concepts. That being said, it provided the basic information that was easy to follow and understand. I'll be interested in reading other books on some of the specific components of the DW, such as the ODS and data marts.
I saw Ms. Imhoff give a talk, so I was motivated to buy her book. I was expecting more detail and more depth, but I was satisfied anyway. It describes the components and their relationships. It describes the motivations and reasons these components are organized the way they are.
It describes some of the important engineering tradeoffs in alternate designs. The book is a quick and simple read. I got a few very important concepts and ideas from it, but I must definitely read several other books for greater depth and focus. This is a good book for pele starting out in data warehousing, it is however very dated in the examples and I believe that the world of Analytics has moved on significantly. I approached this book with an open mind, but after I stumbled upon a couple of obviously wrong and some nonsensical statements, I started reading it much more skeptically, and finding more and more problems with it.
However, it did provide more fun ; The book has a good premise, trying to explain information system with the factory metaphor. Although authors give some good insight in the way IS should or could be thought of and modeled, there are many instances in the text where you read something and say to yourself "what where these good people thinking". This then undermines your confidence in their vision and full understanding of the matter.
And although I think this is a matter of personal preference, authors sometimes seem to be in love with their style, producing some beautiful nonsense like this: "The legacy environment is only a very small vestige of its former invincible self.
So why did you create the single metaphor then? Also, check this out: "A miner will typically look over many, many rows of data As opposed to what, just a "many rows of data"? Whence some people might need "not so many rows of data"? Like I'm reading a book for my eight-year-old, for goodness sakes! Data loan rates is not coming back from Data Mart. User is somehow entering it into Operational system application. His decision is influenced by data analysis, but it does not reverse the data flow.
The fundamental issue here is that authors ignored the fact that information processes in the company involve people as well as the data and systems, and should be modeled as such.
To use their metaphor, users should be a part of the information ecosystem. Hence it is not true that, as the book claims, corporate information factory embodies the information ecosystem. Record is always accurate after that, it does not 'age' with time. At pg. That is true only if it is built modeled with "depth" requirements in mind.
Before I can get "deep" information from the DW, I must build it with my questions in mind, otherwise, it will not give me data. An abstractly deep DW does not exist. It is always an answer to a particular question, or number of questions.
Reminds me of the student who does not know the correct answer to the question so he tries to invent some plausible response, letting his imagination fly And so on, and so on I saved the best ones for the end: " The very ordinary nature of the external world makes us take it for granted. This is not quantum physics, guys, this is computer science. Anything can be observed, perceived and measured to the level of a single bit. Or are we talking bit-quarks here? Informational principle of uncertainty?
It is disappointing to have this book co-authored by the "father of the data warehouse". To the prospective readers: This is a fun book if you are an experienced data architect, bad if you wish to use it as a blueprint for your work, and dangerous if you are an IT manager and impose it on your staff.
To the authors: Give us a break, please go back and re-make a decent book around the good basic idea. Less poetic style would also be appreciated. Forget about quantum physics. And give it to some unbiased reviewers first. Remember, only the real friends will tell you the unpopular truth. The very idea that all the technologies serve the purpose of businesses gets lost here in this book.
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Corporate Information Factory – 2nd Edition
Author: William H. Inmon, Claudia Imhoff, and Ryan Sousa might be the perfect personal floatation device. In this book, the authors collaborate to examine the components of a corporate information factory and explain how they should work together. Generally, the authors show the lifecycle of data as it moves from transaction systems to an enterprise data warehouse and from the warehouse through various means into the hands of decision support system DSS analysts. This page book is conceptually divided into four parts.
Inmon or Kimball: Which approach is suitable for your data warehouse?
Decision Modelling and Information Systems pp Cite as. Early computer applications spawned structured applications. Structured applications led to online applications. Online applications processed business transactions and became essential to the day to day running of the corporation. As these transaction processing applications aged, they became legacy applications. Corporations thought they had a foundation for information with their transaction processing applications, but they were wrong.