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

By David Marco

"This is the 1st publication to take on the topic of meta info in information warehousing, and the implications are extraordinary . . . David Marco has written concerning the topic in a manner that's approachable, functional, and instantly invaluable. construction 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 information repositories grants your organization with super worth in the event that they are used effectively and should you comprehend what they could, and cannot, do. Written by way of David Marco, the industry's best authority on meta info and recognized columnist for DM assessment, this ebook deals the entire assistance you will have for constructing, deploying, and handling a meta facts repository to realize a aggressive virtue. After illustrating the basic ideas, Marco indicates you the way to take advantage of meta info to extend your company's profit and reduce charges. you can find a complete examine the main traits affecting the meta facts undefined, in addition to steps on find out how to construct a repository that's versatile adequate to conform to destiny adjustments. This vendor-neutral consultant alsoincludes whole assurance of meta info resources, criteria, and structure, and it explores the total gamut of sensible implementation issues.Taking you step by step in the course of the strategy of enforcing a meta info repository, Marco indicates you the way to:
- evaluation meta facts instruments construct the meta facts undertaking plan
- layout a customized meta information architecture
- employees a repository team
- enforce facts caliber via meta data
- Create a actual meta facts model
- assessment meta info supply requirements

The CD-ROM includes:
- A pattern implementation undertaking plan
- A functionality and have record of meta info software requirements
- a number of actual meta datamodels to help particular enterprise functions

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Sample text

The database for meta data) to earlier versions of the meta data. Decision Support Challenges It's easy to see the need for decision support systems, but implementing them is anything but easy. The challenges for implementing a DSS come from both the business and technical arenas. Business Challenges The most common cause for DSS project failure is that, once built, the systems don't meet the business objectives or needs of the organization. Decision support systems that don't satisfy the business users' needs eventually die from lack of interest.

When it comes to loading meta data from a source other than these vendors' partners, these tools tend to fall short. As a result, any company that uses an ETL tool's meta data repository technology should understand that it will eventually need to move away from that tool and into a full-scale meta data integration tool (see Chapter 4, Understanding and Evaluating Meta Data Tools). 3 lists the most common sources of meta data by location. 3: Meta Data Locations and Types COMMON META DATA TYPES OF META DATA LOCATIONS Business entity definitions Business attribute definitions Data stewardship Data lineage ETL Tools ETL tools extract data from operational sources, clean it, transform it, and load it into a decision support system's operational data store, data warehouse,or data marts.

Further, the data was of such poor quality that it did not even have the information necessary to clean it. To make a bad situation even worse, our project sponsor did not have the authority to go back to the IT team responsible for maintaining the source system to ask them to change it. As a result, I was left with a task that every consultant dreads. I recommended to senior management that the project be stopped. Because of the severity of the data quality problem, senior management supported my recommendation.

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