Building and Managing the Meta Data Repository: A Full by David Marco

By David Marco

"This is the 1st e-book to take on the topic of meta information in info warehousing, and the implications are staggering . . . David Marco has written concerning the topic in a fashion that's approachable, sensible, and instantly priceless. development and handling the Meta information Repository: an entire Lifecycle consultant is a wonderful source for any IT professional." -Steve Murchie staff Product supervisor, Microsoft Corporation

Meta facts repositories offers your organization with great worth in the event that they are used appropriately and in the event you comprehend what they could, and cannot, do. Written by means of David Marco, the industry's top authority on meta facts and famous columnist for DM evaluate, this ebook deals the entire suggestions you will need for constructing, deploying, and coping with a meta info repository to realize a aggressive virtue. After illustrating the basic options, Marco indicates you ways to exploit meta info to extend your company's profit and reduce costs. you will discover a entire examine the key traits affecting the meta info undefined, in addition to steps on tips to construct a repository that's versatile adequate to evolve to destiny alterations. This vendor-neutral consultant alsoincludes entire insurance of meta facts resources, criteria, and structure, and it explores the whole gamut of useful implementation issues.Taking you step by step during the strategy of imposing a meta facts repository, Marco indicates you the way to:
- overview meta info instruments construct the meta information venture plan
- layout a customized meta info architecture
- employees a repository team
- enforce info caliber via meta data
- Create a actual meta facts model
- evaluation meta information supply requirements

The CD-ROM includes:
- A pattern implementation undertaking plan
- A functionality and have record of meta information software requirements
- numerous actual meta datamodels to help particular company functions

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Decision support systems pull data from all of the key operational systems from across the enterprise and create an integrated view of the organization. Gaining enterprise-wide support for the initial release can be challenging, especially if the various departments don't agree on what that view should look like. Defining clear, measurable business objectives is critical for building a DSS and justifying its cost to the organization. Once the initial DSS release can be cost-justified, it is relatively easy to gather management support and funding for follow-up releases.

This company would accumulate a wealth of valuable meta data in its data modeling tool. Another company, however, may choose to store only physical data models in its modeling tool, which would result in a repository with much less valuable meta data. Examples of data modeling tools include: § Oracle Designer 2000 § Platinum Erwin (at the time of this writing, Computer Associates, which owns Platinum Technologies, has indicated its intention to retain the Platinum name) § Silverrun Reporting Tools When we refer to reporting tools, we are speaking about the tools that business users work with in their decision support system.

Inmon, Building the Operational Data Store, second edition, Wiley, 1999, p. 15). Meta Data and Decision Support Meta data defines the contents of the DSS and helps business users locate relevant information for their analysis. , drill-across). By managing the structure of the data over a broad spectrum of time, it provides a context for interpreting the meaning of the information. As meta data is extracted and stored over several years, snapshots of the data exist for each year. , the database for meta data) to earlier versions of the meta data.

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