Is Logical Data Model in Collibra a Pure Logical model or it is just used for grouping CDE(Critical Data elements)?
Is Logical Data Model in Collibra a Pure Logical model( having attributes, relations between entities, entities )or it is just structure used for grouping CDE(Critical Data elements)?
I have not seen an example from Collibra where there is a relation between entities in this so called Logical data model .
LINK to Collibra video -https://university.collibra.com/learn/course/206/play/638/reference-data-logical-data-models
I have shown a example below
Example
mudassara
Posted 5 years ago · Edited 1 year ago·Last reply 5 years ago
3 comments
Stijn Waegemans
·5 years ago · EditedCritical Data Elements and logical models tend to mean different things for different companies in my experience. A critical data element for me is more a business term identified as critical (it will have a business definition and a link to the columns where they are implemented)
The information here (https://productresources.collibra.com/docs/collibra/latest/Content/Catalog/GuidedStewardship/to_guided-stewardship.htm) on guided stewardship might help you in this as well
mudassara
OP5 years ago · EditedThanks in our use case ,we don’t have Business Glossary created which holds the business term mapping to physical column. Its a lot of work and something which cannot have a definite timeline.
Hence I want to know can we implement a logical data model which will hold CDE of all the apps by grouping them based on our data domains. . This solution will offer
Let me know what you think .
Former User
·5 years ago · EditedIf you don’t have a business glossary as the foundation for your logical / canonical / information model, your chances of success are very slim, indeed. Without it, you will be hard pressed to correctly identify the data in the different systems to see if it maps to your logical model. Everyone will be guessing without clear, unambiguous business terms. If you’re focused on items that are typically CDEs, it’s even more important to have the glossary definitions - think about how many different perspectives there are on customer, product, prospect, revenue, etc.