Databricks setup/deployment checklist/best practices

[Phani1]

Hi Team, could you please share or guide us on any checklist/best practices for Databricks setup/deployment?

[Phani1]

The Databricks platform is on azure

[icyflame92]

Hi @Phani1 , here are some best practices https://github.com/Azure/AzureDatabricksBestPractices/tree/master and you could take these points as your "checklist".

1. Choose the right Databricks Workspace:

   • Decide on the appropriate Azure region for your Databricks workspace.
   • Consider using the Azure Portal to create the Databricks workspace or use infrastructure-as-code tools like ARM templates or Terraform.

2. Authentication and Authorization:

   • Integrate Databricks with Azure Active Directory (Azure AD) for authentication.
   • Implement role-based access control (RBAC) to manage authorization.

3. Networking and Security:

   • Configure Azure Virtual Network (VNet) settings for Databricks clusters.
   • Utilize Azure Network Security Groups (NSGs) for firewall rules.
   • Consider Private Link for enhanced security.

4. Use Azure Key Vault for Secrets:

   • Store sensitive information such as API keys, passwords, and tokens in Azure Key Vault.
   • Integrate Databricks with Azure Key Vault for secure access to secrets.

5. Cluster Configuration:

   • Leverage Azure Databricks Autoscaling for dynamic resource allocation.
   • Integrate Databricks clusters with Azure Virtual Network for enhanced security.

6. Data Storage and Integration:

   • Use Azure Data Lake Storage (ADLS) or Azure Blob Storage for data storage.

7. Logging and Monitoring:

   • Configure Azure Monitor for logging and monitoring.
   • Utilize Azure Log Analytics for centralized log storage and analysis.

8. Azure Databricks Jobs:

   • Schedule jobs using Azure Databricks Jobs for automated execution.
   • Use Azure Data Factory for orchestrating ETL workflows if needed.

9. Azure Databricks Delta Lake:

   • Consider using Delta Lake for efficient storage, management, and processing of big data.
   • Utilize Delta Lake for ACID transactions and schema evolution.

10. Azure DevOps Integration:

    • Integrate Databricks with Azure DevOps for continuous integration and deployment.
    • Automate deployments using Azure DevOps pipelines.