You are currently using the site but have requested a page in the site. Would you like to change to the site? Inmon , Claudia Imhoff , Ryan Sousa. 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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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. The first two chapters define the corporate information factory concept. The next twelve chapters examine each component of the corporate information factory architecture in detail. In the last three chapters, the authors discuss the management of a corporate information factory.
Inmon, Imhoff, and Sousa clearly have the professional stature and knowledge to clearly define the industry standard terminology that surrounds the data warehouse. In my reading, I found their classification of decision support system users into tourists, farmers, explorers, and miners to be a wonderfully useful analogy. It is particularly helpful in gaining an understanding of why an enterprise might consider an exploration or data mining data warehouse.
I was fortunate to have a forward thinking manager who led us through a chapter-by- chapter discussion of this work. It was a good way to ensure that everyone within our data architecture organization was mentally and literally on the same page about operational data stores, data warehouses, and data marts.
Indeed with enough time, free subscription cards, or a fast Internet connection, one might be able to glean the information in this book from a variety of sources. But, the book brings the ideas together much more conveniently. Highly technical readers will be disappointed at the lack of detail on some aspects of the architecture. This is simply not the book to provide information on dimensional data modeling techniques or the pros and cons of various ETL tools.
From a management perspective a more serious criticism may be that this book does not cover any role that Enterprise Application Integration EAI might play or its merits as the cornerstone of an alternative architecture. Some of the illustrations and graphics are also a bit busy and confusing. Overall, this book has great merit as the basis for data architecture planning. Lee A. Spain has been involved with IT since with experience in the defense and financial services industries.
He is currently a data architect with an international financial services firm. Menu Menu. Share this post. Lee Spain Lee A. Data Modeling is Data Governance. Data Warehouse Design — Inmon versus Kimball. Understand Relational to Understand the Secrets of Data.
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Corporate Information Factory, 2nd Edition
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.
The Corporate Information Factory
When it comes to designing a data warehouse for your business, the two most commonly discussed methods are the approaches introduced by Bill Inmon and Ralph Kimball. Debates on which one is better and more effective have lasted for years. But a clear-cut answer has never been arrived upon, as both philosophies have their own advantages and differentiating factors, and enterprises continue to use either of these. Inmon defines a data warehouse as a centralised repository for the entire enterprise. Dimensional data marts are created only after the complete data warehouse has been created.