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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.
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How Databricks Addresses governance challenges ?

User16826994223
Honored Contributor III
 
1 REPLY 1

User16826994223
Honored Contributor III
  • Access control: Rich suite of access control all the way down to the storage layer. Databricks can take advantage of its cloud backbone by utilizing state-of-the-art AWS security services right in the platform. Federate your existing AWS data access roles with your identity provider via SSO to simplify managing your users and their secure access to the data lake.
  • Cluster policies: Enable administrators to control access to compute resources.
  • API first: Automate provisioning and permission management with the Databricks REST API.
  • Audit logging: Robust audit logs on actions and operations taken across the workspace delivered to you.
  • AWS cloud native: Databricks can leverage the power of AWS CloudTrail and CloudWatch to provide data access information across your deployment account and any others you configure. You can then use this information to power alerts that tip us off to potential wrongdoing.

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