Data engineering team is required to share the data with Data science team and both the teams are using different workspaces in the same organization which of the following techniques can be used to simplify sharing data across?

Data engineering team is required to share the data with Data science team and both the teams are using different workspaces in the same organization which of the following techniques can be used to simplify sharing data across?

*Please note the question is asking how data is shared within an organization across multiple workspaces.
A . Data Sharing
B . Unity Catalog
C . DELTA lake
D . Use a single storage location
E . DELTA LIVE Pipelines

Answer: B

Explanation:

The answer is the Unity catalog.

Diagram

Description automatically generated

Unity Catalog works at the Account level, it has the ability to create a meta store and attach that meta store to many workspaces see the below diagram to understand how Unity Catalog Works, as you can see a metastore can now be shared with both workspaces using Unity Catalog, prior to Unity Catalog the options was to use single cloud object storage manually mount in the second databricks workspace, and you can see here Unity Catalog really simplifies that.

Diagram

Description automatically generated with medium confidence sorry for the inconvenience watermark was added because other people on Udemy are copying my questions and images.

duct features

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