Common Warehouse Metamodel: An Introduction to the Standard for Data Warehouse Integration (OMG)
Contents:
Page not found | Swift Office Cleaning
Established in , its mission is to promote the theory and practice of Object Technology OT for the development of distributed computing systems. A key goal of OMG is create a standardized object-oriented architectural frame-work for distributed applications based on specifications that enable and support distributed objects. Objectives include the reusability , portability , and interoperability of object-oriented software components in heterogeneous environments.
To this end, the OMG adopts interface and protocol specifications, based on commercially available object technology, that together define an Object Management Architecture OMA. If two different meta-models are both MOF-conformant, then models based on them can reside in the same repository.
This column focuses on the Object Management Group OMG meta model standard Common Warehouse Metamodel CWM , the impact this standard will have on the industry and its promise to aid in this task of meta data integration But what is a meta model? It is a fancy phrase for a physical data model that stores meta data. The CWM has initially focused on the data warehousing arena and is broadly supported by the vast majority of data warehouse vendors, meaning that they have integrated CWM into their tools' meta model or they are looking to provide an interface that will transfer their meta data into CWM.
This capability will allow data warehousing products from different vendors to share technical meta data. The CWM specification can be downloaded from www.
Navigation menu
For many years all of us in the meta data arena have desired a global meta model standard. Unfortunately for the industry, two standards were one too many. On September 25, the MDC merged with the OMG with the goal of consolidating the separate initiatives into one meta data standard under which all vendors can unify Analysis of these data not only allows sales and production to be tuned for maximum profitability, but also allows entirely new and profitable products to be discovered and exploited.
But it is difficult to merge data into a single warehouse when the originals are spread over a number of different databases, using not only different data models but different metamodels as well.
- Common Warehouse Metamodel?
- Menschenjagd – Running Man: Roman (German Edition)!
- Common warehouse metamodel.
- .
- Chinas Rise in Historical Perspective?
The term 'metadata' refers not only to the set of definitions of the data in the warehouse products, parts, prices, and so on but also to its formats, processing, transformations, and routing from origin to warehouse: Metadata management, and reconciliation of inconsistent metadata when data from different sources are merged, are the biggest problems facing enterprises working with data warehousing today. Designed to work naturally with object, relational, record-based, multidimensional, and XML-based datastores, the CWM supports data mining, transformation, OLAP, information visualization, and other end user processes.
Metamodel support encompasses data warehouse management, process, and operation. The CWM specification extends to application programming interfaces APIs , interchange formats, and services that support the entire lifecycle of metadata management including extraction, transformation, transportation, loading, integration, and analysis. And, users can resolve specific integration issues by taking advantage of the CWM metamodel's built-in extensibility.
CWM combines the power of enterprise data management and object modeling, making them available to data modelers, database designers, data warehouse users and administrators, and corporate portal developers and managers. Chang and John D. No common solution, however, was available at the time or on the horizon. However, it was getting little support in the industry because of its limited coverage of metadata types and the lack of open interchange format.
The OMG is an international standards organization with more than five hundred member companies. It is best known for its work on CORBA standards, which made many breakthrough contributions to distributed computing. Much less known, until recently, is its work on modeling and metadata standards that started around UML provides a single and powerful modeling language for modeling all types of warehouse metadata; XML provides a simple and universal data format for interchanging all kinds of warehouse metadata. By nature, data warehousing deals with a very complex environment that involves many different types of data sources and targets relational, record-based, object-oriented, multidimensional, and XML , various types of transformation and analysis tools OLAP, data mining, information visualization, and business nomenclature , as well as warehouse process and operation management.
UML is capable of modeling the metadata for all of the above entities, thus serving as the single modeling language and enabling a model driven approach for metadata interchange.
Common Warehouse Metamodel: An Introduction to the Standard for Data Warehouse Integration
Also by nature, data warehousing involves many different tools from many different vendors, big and small. Therefore, for metadata interchange to be successful and prevalent, the interchange format used must be universal and must be cheap to implement and support.
XML is ideal for this purpose, being simple and universal. The CWM Enablement Showcase was a resounding success and a major breakthrough for warehouse metadata interchange. Nevertheless, this is only the beginning. One should not be surprised to find CWM providing the common solution to warehouse metadata interchange problems in the very near future.
Common Warehouse Metamodel: An Introduction to the Standard for Data The Common Warehouse Metamodel (CWM) is the new OMG standard that makes based system for metadata integration for data warehouses, Proceedings of the. Common Warehouse Metamodel: An Introduction to the Standard for Data The Common Warehouse Metamodel (CWM) is the new OMG standard that makes However, the need for complete and relatively low-cost metadata integration in.
As a result, the MDC will discontinue independent operations and work will continue in the OMG to integrate the two standards. Until this week, there were two major standards for metadata and modeling in the areas of data warehousing and component-based development. Data warehousing is a response to the enterprise need to integrate valuable data spread across organizations from multiple sources.
Analysis of an enterprise's accumulated data not only allows sales and production to be tuned for maximum profitability, but also allows entirely new and profitable products to be discovered and exploited. Chapter 18 in both the 1.
Compliance with the CWM specification does not guarantee tools from different vendors will integrate well, even when they are "CWM-compliant". The OMG addressed some of these issues by releasing patterns and best practices to correct these problems in a supplementary specification, CWM Metadata Interchange Patterns [4]. In some cases, the vendor may have implemented the v1.
Read the latest news from Swift Office Cleaning Services
Refer to the software vendor to determine if the product is compliant with CWM or merely supports a subset of the required portions of the specification. From Wikipedia, the free encyclopedia. Retrieved from " https: Use dmy dates from October Views Read Edit View history. This page was last edited on 22 October , at