Azure Databricks
Overview
Azure Databricks is an Apache Spark-based analytics platform optimized for Azure, enabling big data analytics and AI solutions.
Real-life Use Cases
Cloud Architect: Design scalable data pipelines for ETL and machine learning.
DevOps Engineer: Automate Databricks workspace and cluster provisioning for data teams.
Terraform Example
resource "azurerm_databricks_workspace" "main" {
name = "mydatabricks"
location = azurerm_resource_group.main.location
resource_group_name = azurerm_resource_group.main.name
sku = "standard"
}
Bicep Example
resource databricks 'Microsoft.Databricks/workspaces@2023-05-01' = {
name: 'mydatabricks'
location: resourceGroup().location
sku: {
name: 'standard'
}
properties: {}
}
Azure CLI Example
az databricks workspace create --resource-group my-rg --name mydatabricks --location westeurope --sku standard
Best Practices
Use separate workspaces for dev, test, and prod.
Integrate with Azure AD for access control.
Common Pitfalls
Not monitoring cluster costs.
Over-permissioned users.
Joke: Why did the Databricks cluster get promoted? It always sparked new ideas!
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