Top Ten Tips for Data Warehouse Success
These ten tips (the perceptive reader will recognize eleven) will not guarantee success. Contrary to what some vendors will tell…
Data Education
Capability Maturity Model from a Data Perspective
The following outline maps the five levels of maturity to the manner in which organizations manage data — effectively outlining…
Data Warehousing Strategies: Providing Insulation from Packaged Application/Legacy Systems
Figure 1: Implementing a “logical” data model within a Data Warehouse. This figure illustrates how the “logical” data structure within…
System Architecture: Jargon or Strategic Weapon
A systems architecture is a tool for senior management to identify and define the companies applications portfolio.
IRM: Data Administration VS. Database Administration
Throughout the history of Information Resource Management, there have been questions surrounding the necessity for multiple disciplines within the IRM…
Data Stewardship: Process for Achieving Data Integrity
Data Steward - Person responsible for managing the data in a corporation in terms of integrated, consistent definitions, structures, calculations,…
How to Build a Solid Foundation for Your Warehouse
Building a data warehouse usually involves more human and capital resources than any other information technology project an organization has…
Objects and Business Views
The requirements analysis process, as described in most methodologies’ system development life cycles, typically addresses both rows 2 (the owner’s…
The Role of NIST in SQL Standardization
20 February 1997 Friends of the Database Management Industry, The Information Technology Laboratory at the U.S. National Institute for Standards…
Data Administration and the Internet
We are all used to working in an environment of change, but the pace of change in the IT industry…