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by Krish Krishnan Content type: Downloads
Category: Big Data Document

The information explosion has rocked the world of data over the last five years. The advancement of mobile technology, the availability of tablets and smartphones, and the rapid growth of social media have all contributed to both production and consumption of data at never-before-seen volumes. Other contributing factors have been recommendation engines, cool new visualization capabilities for business intelligence (BI), advances in software technology to enable machine learning, and smarter systems in hospitals, airports, airplanes, automobiles and more.

by Bill Inmon and Robert H. Terdeman Content type: Downloads
Category: Data Warehouse Document

The Corporate Information Factory consists of many existent process based systems each inter-linked by information. In order for the factory to process successfully, each component in the production line must share a consistent and robust infrastructure. This infrastructure has certain requirements. These requirements include, but are not limited to: change resilience, redundancy, non-disruptive upgrade-ability, and expandability. Few infrastructure providers treat technology as an enterprise requirement in architecture to support the Corporate Information Factory. It is mission critical, in the next decade, to plan proactively for an Enterprise Infrastructure to retain competitive advantage in the e-commerce age. The companies that do plan for the right infrastructure will prosper. Written by W.H. Inmon and Robert H. Terdeman

by Bill Inmon Content type: Downloads
Category: Data Warehouse Document

This white paper is divided into three sections – Parts I and II describe the Corporate Information Factory (CIF) and several important perspectives about the building of the Corporate Information Factory. Part III describes a high level methodology of what the different activities of Corporate Information Factory development are and in what order the different activities are to be executed.

by Bill Inmon Content type: Downloads
Category: Data Warehouse Document

This white paper is divided into three sections – Parts I and II describe the Corporate Information Factory (CIF) and several important perspectives about the building of the Corporate Information Factory. Part III describes a high level methodology of what the different activities of Corporate Information Factory development are and in what order the different activities are to be executed.

by Bill Inmon Content type: Downloads
Category: Data Warehouse Document

This white paper is divided into three sections – Parts I and II describe the Corporate Information Factory (CIF) and several important perspectives about the building of the Corporate Information Factory. Part III describes a high level methodology of what the different activities of Corporate Information Factory development are and in what order the different activities are to be executed.

by Bill Inmon Content type: Downloads
Category: Data Warehouse Document

The Zachman framework specifies that many different aspects of an architecture be identified and described. In particular, it requires that systems and components of the information systems architecture be identified and positioned. The Government Information Factory fulfills all of these requirements. Furthermore, it takes the components that have been specified and describes them in greater detail. Specifically, the GIF identifies and positions a government’s information needs in terms of: • Definition of scope, • Identification of the enterprise model, • Articulation of needed systems, • The technology underpinning the architecture, • Needed architectural components, • The functioning systems of the architecture.

by Bill Inmon Content type: Downloads
Category: Data Warehouse Document

The GIF (GOVERNMENT INFORMATION FACTORY) Inmon Associates’ GIF is an information systems blueprint for government agencies. The blueprint is for federal, state, and local agencies, and takes into consideration the needs for: • Operational processing, • Informational processing, • Multidimensional processing, • Managing very large amounts of data, • Being responsive to changing and unknown conditions, • High availability, • Good response time for transactions, • Multidimensional reporting, • Data mining and exploration, and so forth. In addition, the GIF takes into account the need for: • Interagency passage of data, • Integrated electronic security, • Predictive security (the ability to use data to anticipate threats before they occur), • Reconciliation of data, • Addressing the challenges of stovepipe systems. When it comes to systems modernization, the GIF is the premier blueprint for government agencies.

by Bill Inmon Content type: Downloads
Category: Data Warehouse Document

The first introduction of SAP to most corporations is as an ERP vendor. SAP's ERP products address the challenge of legacy applications. ERP technology allows organizations to get a handle on the integration and modernization of daily transactions that run the operations of the business. This paper examines how SAP fits into the CIF model.

by Bill Inmon Content type: Downloads
Category: Data Warehouse Document

In the beginning were simple applications. They were shaped around requirements, which were used to determine the content, structure, and processing of an application. Soon there were many applications. With the large number of applications came a great deal of discomfort. Simply building applications led to many problems, such as:
•The inability to look at data across the enterprise. Each application had its own version of reality. The problem was that no two applications had the same notion of what was reality, so there were as many interpretations as there were applications. Management’s ability to make decisions was greatly impaired by the inaccuracy and incomplete definitions of information that appeared in the applications environment.
•The inability to make changes gracefully. Once a change was needed, it had to be made in many places, which required coordination of efforts. Simply stated, once many applications appeared, there was no way the information of the organization could be changed gracefully.
•The inability to make simple accesses of data. Once data became locked up in the applications environment, it was “in jail.” The application structure of the data optimized the storage of data and the ability to do speedy online transaction processing. There was no thought given to the need for access of data. ( Inmon)

Content type: Biography
Category: People Pages

Adrienne Tannenbaum is founder and President of Database Design Solutions, Inc.



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Metadata 2004 Newsletter

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PRESS RELEASE- DW CONFERENCE 2006

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Privacy Statement for Data Management Forum, Inc., A non-profit, professional user group organization.

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Membership in the DAMA New York Chapter will no longer qualify for discounts to any Data Management Forum events

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MAY 14 2009 -SEMINAR PROGRAM DAY ONE

by John Lucas Content type: Announcements
Category: Documents

We now have Bill Inmon white papers available for downloading. Please see the DOWNLOAD Section

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