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TDAN: The Data Administration Newsletter, Since 1997

THE DATA ADMINISTRATION NEWSLETTER – TDAN.com
ROBERT S. SEINER – PUBLISHER

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TDAN.com – Archive

September 1998

Articles

Meta Data Themes - Part Two
by Robert S. Seiner
In the first part of this article (published in TDAN 5.0), I offered information about basic meta data themes that could be used as an easy-to-understand starting point for meta data management.

Proactive Performance for the Data Warehouse
by Larissa Moss, Sid Adelman

Achieving Enterprise Data Quality
by Len Dubois
The role of information in creating competitive advantage for businesses and other enterprises has been well documented and is now a business axiom

Database Objects: The Foundation Stones of Enterprise Database
by Michael M. Gorman
There are generally considered to be three classes of objects: display objects, wholly contained process objects, and business objects.

Object-Orientation and Business-Driven Information Engineering
by Alan Perkins, Keith Harmon
This paper describes the benefits and techniques for using an enterprise information architecture to develop and manage reusable software components.

A Component Framework Model for Information Technology Arcitecture - Part Two
by William J. Lewis
Businesses constantly pursue the cost-effective application of information technology to achieve sustainable competitive advantage in an ever-changing competitive environment.

Tools for a Comprehensive Database Environment - Part 2
by Craig S. Mullins
In the second of two parts, this article addresses database tools that focus on the analysis, reporting, and utilities of database administration.

The DNA of Data Warehousing
by Derek Shaw
Meta Data – the Backbone of the Data Warehouse Environment

Formal Model-Driven Development Methodology
by Anne Marie Smith
This is a basic methodology to be used when developing logical data and process models.

Practical Advice for Managing Poor Warehouse Performance
by Art Taylor
This paper will identify many of the causes of poor performance in data warehouse queries and identify practical solutions for managing and improving performance.

Data Warehousing Perspective: It IS NOT A Technology
by Paula Thornton
We communicate in "near approximations" at all times: everything is open to individual interpretation.

Data is Alpha and Omega
by Sarah E. Wentworth
If you are like most of today’s modern business, you are utilizing a blend of computer automation to conduct your daily business.

 
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