Macro economic forces that require data integration are making data transformations increasingly important. Webinar 3-11-2010, 8 PM to 9.30 PM IST. Nominate and watch out from Homes.
Macro economic forces that require data integration are making data transformations increasingly important. When the Model-Driven Architecture initiative was launched early in this decade, its founders accurately predicted that model-driven techniques would make data integration less costly and error-prone.However, integration costs are still too high, consuming 30-60% of IT budgets. Now it is time to chart the next milestone on the data integration path: improvement in semantic interoperability.Data and message format definitions contain only one kind of machine-readable metadata, namely metadata about the syntax of the information. Machine-readable syntactic metadata makes it possible for current state-of-the-art data integration tools to generate data transformation code, once the integration analyst has entered a mapping from one format to another into the tool. However, this metadata does not provide integration tools with a basis to help integration analysts decide *what* the mapping between two formats should be. This is a key reason that integration work is still so labor intensive. Moreover, misunderstandings about the semantics of data and message definitions lead integration analysts to make subtle errors that can be costly and difficult to track down. Machine-readable semantic metadata helps to address these limitations.
Wednesday, November 3, 2010 9:30 AM – 11:00 AM CDT
Registration Web Link: https://www2.gotomeeting.com/register/399136082
By: David S. Frankel
Standards and Open Source Strategy,Technology and Innovation Platform Group,SAP Labs LLC; Palo Alto, California USA