Databricks master data management capabilities

[SHG97]

Hi there,

Please, I am trying to understand if Databricks is able to support master data management capabilities. Particularly, focusing on the following ones:

- Integrate and link different data systems: Connect various systems and make sure the data stays consistent across all of them (e.g., when a record is updated in one system, the change is automatically reflected in all connected systems)

- Manage data standardization rules: Establish and enforce rules to ensure data remains consistent across the organization (e.g., defining a standard format for date fields)

Please, any help or guidance is highly appreciated.

Thanks a lot!

[SathyaSDE]

Hi,

Databricks is meant for that & it supports what ever feature you had asked in the OP.

1) You can ingest data from various sources - in both batch & streaming mode, various formats of data through Lakehouse architecture

2) In terms of data consistency while reading, also to manipulate the data / durability - pls read about Delta lake, open storage format with ACID support.

3)Yes, you can enforce constraints, schema enforcement, RBAC, Unity catalog - to centrally manage & follow data governance, compliance etc.

Here are some reference links:

https://docs.databricks.com/en/ingestion/index.html

https://learn.microsoft.com/en-us/azure/databricks/delta/

https://www.databricks.com/product/unity-catalog