A data warehouse provides managers and other knowledge workers with the information they need to quickly and accurately do their jobs. It does this by consolidating the data from different application databases and storing them in a common, integrated database. This track looks at what it takes to succeed in planning, designing and building the data warehouse. The sessions examine the architecture of an enterprise warehouse, the metadata requirements, the problems of building a scalable system to cope with large amounts of data, and the quality problems involved in integrating the source databases.
Herb Edelstein
Tuesday, 1:30 - 2:45 p.m.
Data warehousing is becoming increasingly central to the successful operations of many organizations, but there is a lot of misleading information about what practices people are actually doing. This session takes a look at what is really happening and what the near term will bring in the following areas:
Philip A. Bernstein, Repository Architect
Microsoft Corporation
Tuesday, 3:00 p.m.
Microsoft’s extensible object-oriented repository addresses tool integration, component reuse, and other areas. Dr. Bernstein explains Microsoft’s approach to the repository technology and how it’s intended to be used.
Larry English, President and Principal,
Information Impact International, Inc.
Wednesday, 8:30 a.m.
Data quality has been demonstrated, time and again, to be the predominant critical success factor in a data warehouse. This presentation describes metrics for measuring the quality of data in the data warehouse. Discover management techniques for improving data quality both in the data warehouse and in its data sources. Learn the components of a data audit. Identify causes of non-quality data and how to improve the processes. Mr. English describes both the technical and human requirements for a continuous data quality improvement program.
Merv Adrian, Director, Data Warehouse Solutions Marketing
Sybase, Inc.
Wednesday, 9:30 a.m.
Early experience with Data Warehouse projects has demonstrated that data always grows beyond the expectations of the designers. What are the forces that cause this? Can you predict the data explosion better? Is it possible to design data warehouses that are less subject to the massive growth that consumes budget dollars, administration time, and available disk space? Anyone planning a data mart or data warehouse will want to attend this discussion, where you will learn:
Bonnie O’Neil, Director of Data Warehousing and Business Rules
Northern Lights Software, Ltd.
Wednesday, 2:00 p.m.
Discovering, deciphering and managing the transformation rules is usually the most difficult part of a data warehouse project. This is because legacy systems contain conflicting data: Which is the right value? How can you determine if elements mean the same thing? This presentation offers some practical tips on how to cope with transformation rules.
Special In-Depth SessionRonald S. Swift, Assistant Vice President
Data Warehouse Solutions, NCR Corporation
Thursday, 1:30-3:20 p.m.
This session provides a logical and forthright framework for defining and communicating an effective framework for all types of data warehouses from Data Marts to enterprise-wide warehouses. The speaker provides a comprehensive view, based on over a decade of multiple organizations’ actual experiences in building data warehouses.
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