FISD to Form New Data Model Working Group
Washington DC - Industry association FISD is set to establish a new working group aimed at creating a market and reference data model suited for building out a framework for object to relational mapping across product sets, officials tell Inside Reference Data.
The new model will be based on updating and combining existing data model components, such as the MDDL-based efforts. "There is enough out there to pull together one logical model that covers a broader piece (than the existing data models)
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@waterstechnology.com
Most read
- Chris Edmonds takes the reins at ICE Fixed Income and Data Services
- Deutsche Börse democratizes data with Marketplace offering
- Waters Wavelength Podcast: Broadridge’s Joseph Lo on GPTs