Compiled and edited by Tony Shaw, Program Chair, Wilshire Conferences, Inc




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Dept. of HUD



Diana Young

FAA Data Registrar

Federal Aviation Administration


The President's Management Agenda (PMA) has directed all federal government agencies to improve the quality and reliability of government information and services. In this mandate, the President instructed agencies to share their knowledge and resources with other agencies. The challenge? How do federal agencies work within the spirit of the PMA and make the President's goal a reality? What's more, federal budgets are dwindling and of course, we are expected to do more with less.


As information/data managers, we know the foundation for improved information/data quality is effective metadata management. In recent months, data managers from over twenty federal agencies have come together to address the PMA challenge.


Instituting the Meta Data LifeCycle


Barbara Nichols

Principal

Metaview360, Inc.


Many different kinds of tools are used to create and maintain a data warehouse, such as: data modeling tools, data extraction, transformation and loading tools, data quality assessors, databases, gateways, business intelligence and reporting tools, web sites, and portals. Meta data occurs throughout the entire process, and with the use of each kind of tool. An effective meta data management lifecycle captures the meta data from all points in the process, organizes it for analysis, and makes it available to all the processes and people that need it. This presentation described a life cycle for meta data management, and the corresponding kinds of tool implementation architectures that support it, including:


  • The Life Cycle Components - It’s not an SDLC

  • How Tools Enter the Mix - An Effective Tool Approach

  • Dealing with Implementation Obstacles: Technical, Organizational, and Cultural



Data Management: The Next Big Thing

Tony Shaw, Wilshire Conferences


Todd Stephens, BellSouth

John Friedrich, My Krisalis

Charles Betz, Best Buy

Craig Mullins, BMC Software

Neil Raden, Hired Brains, Inc.


In this lively, fast-paced session, each panelist nominated his own version of Data Management’s “Next Big Thing.”

Charlie Betz


Metadata management will converge with systems management and IT Service Management. It will not do so from a position of strength.

Neil Raden


Traditional data warehousing is long past its useful life. The centralized design of data models for a whole enterprise never worked anyway. Expect to see data warehouse veterans moving quickly toward federation, grids, EII and non-traditional, non-relational backbones. Vendors of taxonomies for defining domains and semantic modeling will have their day in the sun. Moore's Law will finally be felt in data warehousing as customers abandon expensive, proprietary O/S's and hardware in favor of cheap, scalable resources and open source software. Not only will data warehousing hardware and software become a commodity, the data warehouse itself will too. This benefits everyone as the focus finally finally turns to solving end-to-end problems instead of data, databases, data modelers and over-the-hill guru's with tired stories.

Todd Stephens


We need modifications of the basic accounting principles of defining a capital asset. Accounting must alter its basic principles in order to account for data, information, and knowledge.

John Friedrich


Meta data management will become more like data management. We are not going to have a single repository (just like we are not going to have just one database). We are not going to “capture for use” all the meta-data in one integrated repository tool, and certainly not going to move all of that meta-data from source to source, or data tool repository to data tool repository. And, while important for the Meta-Data integration, etc., solution, a Meta-Meta-Data Repository or Meta-Repository is not going to be “the answer”, only another tool.

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