cancel
Showing results for 
Search instead for 
Did you mean: 
Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
cancel
Showing results for 
Search instead for 
Did you mean: 

topology, centralized, and federated workspaces

Phani1
Valued Contributor

Hi Team,Can you provide information about topology, centralized, and federated workspaces in databricks and how they are used?

Regards,

Janga

1 REPLY 1

Kaniz_Fatma
Community Manager
Community Manager

Hi @Phani1

  1. Topology:

  2. Centralized Workspaces:

    • Centralized workspaces are designed for collaboration and resource sharing. They allow multiple users and teams to work together within a single workspace.
    • Key features:
      • Shared Resources: Users can collaborate on notebooks, clusters, libraries, and other assets.
      • Unified Access Control: Administrators can manage permissions centrally.
      • Single Pane of Visibility: All resources are accessible from one place.
      • Efficient Resource Utilization: Shared clusters and libraries reduce redundancy.
    • Use cases: Collaborative data exploration, team projects, and shared development environments.
  3. Federated Workspaces:

    • Federated workspaces enable cross-workspace querying using Lakehouse Federation.
    • Features:
    • Use cases: Analyzing data from multiple workspaces, combining results, and maintaining data locality.

Remember that Databricks provides flexibility, allowing you to choose the workspace type that best suits your needs. If you have specific use cases or need further details, feel free to ask! 😊🚀34

 
Join 100K+ Data Experts: Register Now & Grow with Us!

Excited to expand your horizons with us? Click here to Register and begin your journey to success!

Already a member? Login and join your local regional user group! If there isn’t one near you, fill out this form and we’ll create one for you to join!