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The Role of Metadata for Data Warehousing

TLDR
It turns out that an overall solution for managing all metadata in a central or federated repository is still missing regarding a global metadata schema as well as system aspects and interoperability among involved tools producing metadata.
Abstract
Metadata has been identified as a key success factor in data warehouse projects. It captures all kinds of information necessary to extract, transform and load data from source systems into the data warehouse, and afterwards to use and interpret the data warehouse contents. This paper gives an overview about the role metadata plays for data warehousing and reviews existing standards, commercial solutions and research actions relevant to metadata management. It turns out that an overall solution for managing all metadata in a central or federated repository is still missing regarding a global metadata schema as well as system aspects and interoperability among involved tools producing metadata. The divergence of proposed standards will probably prevent a breakthrough within the near future.

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Citations
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Proceedings ArticleDOI

DWARF: an approach for requirements definition and management of data warehouse systems

TL;DR: The traditional requirements engineering process is adapted and DWARF, a data warehouse requirements definition method is proposed, which has been successfully applied in the company wise development of a large-scale data warehouse system that stores hundreds of gigabytes of strategic data for the Brazilian Federal Revenue Service.

On Metadata Interoperability in Data Warehouses

Hong Hai Do, +1 more
TL;DR: This work categorizes the major metadata types and their interdependencies within a three-dimensional classification approach and investigates how interoperability and integration of metadata can be achieved based on a federated metadata architecture and standardization efforts such as OIM and CWM.
Journal ArticleDOI

Metadata management for data warehousing: an overview

TL;DR: It turns out that an overall solution for managing all metadata in a central or federated repository is still missing regarding a global metadata schema as well as system aspects and interoperability among involved tools producing metadata.
Proceedings ArticleDOI

Metadata management for data warehousing: between vision and reality

TL;DR: The paper summarizes the most important issues of metadata management for data warehousing, including the role of metadata and solved and unsolved problems of the available solutions.
References
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