In Corporate Information Factory, Bill Inmon, Claudia Imhoff, and Ryan Sousa introduce a practical and proven framework that shows companies how to. Bill Inmon created theCorporate Information Factory to solve the needs ofthese managers. Since the First Edition, the design of the factoryhas grown and. Corporate Information Factory [W. H. Inmon, Claudia Imhoff, Ryan Sousa] on *FREE* shipping on qualifying offers. The father of data warehousing.

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We think you have informatio this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Published by Frederick Lester Modified over 3 years ago. Its purpose is to feed additional data stores dedicated to a variety of analytic systems. The enterprise data warehouse is usually stored in a relational database management system, and Inmon advocates the use of third normal form database design.

Data Marts These are databases that support a departmental view of information. fwctory

With a subject area focus, each data mart takes information from the enterprise data warehouse and readies it for analysis. Inmon advocates the use of dimensional design for these data marts. The data marts may aggregate data from the atomic representation in the enterprise data warehouse. It is an integrated repository for atomic data.


It contains a single view of business activities, as drawn from throughout the enterprise. It stores that information in a highly granular, or atomic, format. The dimensional data warehouse differs from the enterprise data warehouse in two important ways.

First, it is designed according to the principles of dimensional modeling. It consists of a series of star schemas or cubes, which capture information at the lowest level of detail possible. This contrasts with the Inmon approach, where the enterprise data warehouse is designed using the principles of ER modeling.

Concept of a data mart becomes a logical distinction; the data mart is a subject area within the datawarehouse. In Figure, this is represented by the box that highlights a subset of the tables in the dimensional data warehouse.

Corporate Information Factory [Book]

It is focused exclusively on a factor area. One or more operational systems feed a database called a data mart. The data mart may employ dimensional design, an entity- relationship informtion, or some other form of design. Analytic tools or applications query it directly, bringing information to end users.

No time must be spent constructing a consolidated view of product or customer, for example. No time corlorate be spent comparing data from the sales system withwhat is tracked in the accounting system. Instead, the implementation takes a direct route from subject area requirements to implementation. Because results are rapid and less expensive, stand-alone data marts find their way into many organizations. A stand-alone data mart may become part of the application portfolio when purchased as a packaged application, which provides a prebuilt solution in a subject area.


Packaged data marts may also be available as add-ons to packaged operational applications.

Prebuilt solutions like these can further increase the savings in time and cost. An Introduction to Data.

Corporate Information Factory – 2nd Edition |

Develop an application to implement defining subject area, design. Data Warehouse Toolkit Introduction. Data Warehouse Bill Inmon’s paradigm: Data warehouse is one part of the overall business intelligence system. My presentations Profile Feedback Log out. Auth with social network: Registration Factoory your password? Download ppt “Data Warehouse Architecture.

Corporate Information Factory, 2nd Edition

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