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Databricks setup/deployment checklist/best practices

Phani1
Valued Contributor

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

2 REPLIES 2

Phani1
Valued Contributor

The Databricks platform is on azure

icyflame92
New Contributor II

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.
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