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In Databricks, the term “topology” refers to the organization and structure of workspaces. It defines how different components are connected and interact within the platform.
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.
Federated Workspaces:
Federated workspaces enable cross-workspace querying using Lakehouse Federation.
Features:
Query Federation: Users can run queries against data sources across different workspaces without migrating all data to a unified system.
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