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

By David Marco

"This is the 1st ebook to take on the topic of meta information in info warehousing, and the consequences are striking . . . David Marco has written in regards to the topic in a fashion that's approachable, useful, and instantly important. construction and dealing with the Meta information Repository: a whole Lifecycle advisor is a superb source for any IT professional." -Steve Murchie workforce Product supervisor, Microsoft Corporation

Meta info repositories grants your organization with large worth in the event that they are used accurately and in the event you comprehend what they could, and cannot, do. Written through David Marco, the industry's major authority on meta facts and recognized columnist for DM evaluation, this e-book bargains all of the assistance you will want for constructing, deploying, and handling a meta information repository to realize a aggressive virtue. After illustrating the elemental options, Marco indicates you ways to exploit meta information to extend your company's profit and reduce charges. you can find a accomplished examine the main tendencies affecting the meta facts undefined, in addition to steps on easy methods to construct a repository that's versatile sufficient to conform to destiny adjustments. This vendor-neutral advisor alsoincludes whole insurance of meta facts resources, criteria, and structure, and it explores the entire gamut of sensible implementation issues.Taking you step by step during the strategy of imposing a meta information repository, Marco exhibits you ways to:
- assessment meta information instruments construct the meta facts undertaking plan
- layout a customized meta information architecture
- employees a repository team
- enforce information caliber via meta data
- Create a actual meta info model
- overview meta information supply requirements

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

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Additional resources for Building and Managing the Meta Data Repository: A Full Lifecycle Guide

Example text

This type of functionality is critical for any company trying to ensure that its IT systems are sufficiently flexible and maintainable to support its ever-changing business information needs. Like DSS impact analysis reports, enterprise-wide impact analysis reports are generally quite technical. This isn't a problem because they are used primarily by the IT staff that supports the company's information systems. The IT staff should be able to limit the amount of information on the impact analysis reports by having record selection on the following report attributes: § System § System table § System field § Table type Enterprise-wide impact analysis reports provide a company with the system flexibility to meet its current and future businesses needs.

1: Examples of Technical Meta Data EXAMPLES OF TECHNICAL META DATA User report and query access patterns, frequency, and execution time Audit controls and balancing information Technical structure of data System of record feeding the decision support system Identification of source system fields Mappings and transformations from the operational system(s) of record to the decision support system Encoding/reference table conversions Data models, both physical and logical Decision support system table names, keys, and indexes Operational systems table names, keys, and indexes Domain values Operational system's table structures and attributes Decision support system's table structures and attributes Relationship between the data model and the decision support system History of extracts Decision support system table access patterns Decision support system archiving Job dependencies Program names and descriptions Version maintenance Security Purge criteria Business meta data supports the business users of the operational and decision support systems.

One of the primary uses of a data warehouse is to fulfill the data needs of the data marts that it supports. , data tables). , data marts). Most data warehouses limit business user access to one-time or ad hoc queries. 9) are sets of data designed and constructed for optimal decision support business user access. They can be sourced from a data warehouse or directly from a company's operational systems. ). Data in the data marts is usually summarized and designed for specific reporting needs. 9: Data mart components.

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