Metadata management is important when defining the objects in the data warehouse and when indexing all the data that is contained within the warehouse. Metadata management tools help BI teams navigate to the data.
When data is entered into a data warehouse, the data is processed and metadata is applied to it to organize it. The types of metadata that are used in classifying objects in a data library include:
– Business metadata – Metadata regarding the ownership of documents for legal purposes and analytics.
– Operational data – Information regarding the status of data, such as whether it is archived or active, and data lineage.
– Technical data – Details about the specifics of individual documents such as file type, size and key attributes.
Different metadata categorize the data to allow it to be stored and accessed whenever needed.
Once the data is in the data warehouse, metadata management allows the data to be found by any user at a later date. Any queries that are made into the data warehouse depend on metadata to locate it and give an overview of the data without necessitating a full examination of the document itself.
Good metadata management practices are essential for creating a functioning data warehouse. Companywide metadata standards are necessary to ensure that data is stored correctly and can be used for business intelligence purposes.
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