Azure

The complete YAML Pipelines deep dive for data engineers. Triggers for push PR scheduled and pipeline chaining. Variables at every scope with Key Vault integration. Parameters with types and allowed values. Conditions for runtime and compile-time control. Templates for reusable steps jobs and stages. Multi-stage pipelines from dev to prod. Environments with approval gates. Matrix strategy for parallel execution. Each loops for dynamic stage generation. Pipeline artifacts for passing data between stages. Real-world CI and CD examples for Databricks and Terraform. Eight common mistakes and seven interview Q and As.

The complete Terraform guide for data engineers. HCL fundamentals and file layout. Providers for Azure Databricks and Snowflake. Resources for creating infrastructure. Data sources for reading existing resources. Variables with types and validation. Outputs and locals. The init plan apply destroy workflow. Remote state management with Azure Blob backend. Provisioning ADLS Gen2 storage accounts Key Vaults and Databricks workspaces. Configuring clusters SQL Warehouses Unity Catalog storage credentials and external locations. Multi-environment deployment with tfvars. Complete data platform project structure. Eight common mistakes and seven interview Q and As.

The complete Terraform modules and CI/CD guide. Why modules matter for infrastructure at scale. Building reusable modules for storage accounts Databricks workspaces and Key Vaults. Module inputs outputs and contracts. Module composition for data platforms. Registry and versioning. Deploying Terraform through Azure DevOps YAML pipelines with plan-apply pattern. Pipeline templates for Terraform. Multi-environment CI/CD with each loops. Terraform vs DABs decision guide. Eight common mistakes and seven interview Q and As.

The complete CI/CD guide for Databricks with Azure DevOps. Service principal setup for non-human authentication. Databricks CLI installation in pipelines. DABs deployment through YAML pipelines with validate deploy and run. Multi-environment databricks.yml with targets for dev staging and prod. CI pipeline with bundle validation linting and unit tests. CD pipeline with approval gates. Notebook testing with local PySpark and integration tests. Unity Catalog promotion across environments. Workspace-first development with Git-backed deployment. Complete end-to-end pipeline. Eight common mistakes and seven interview Q and As.

The complete CI/CD guide for Azure Data Factory and Microsoft Fabric with Azure DevOps. ADF Git integration and ARM template approach. Building ARM templates with ADFUtilities npm. Pre and post deployment scripts for trigger management. ADF parameterization for multi-environment. Fabric Git integration and deployment pipelines. Deployment rules for environment-specific configuration. Variable Libraries for eliminating hard-coded references. fabric-cicd Python library for programmatic deployments. Complete YAML pipelines for both platforms. ADF vs Fabric CI/CD comparison. Eight common mistakes and seven interview Q and As.

The complete Azure DevOps guide for data engineers. Five core services explained. Azure Repos with Git branching strategies. YAML Pipelines with stages jobs and steps. Service connections for secure Azure access. Variable groups linked to Key Vault. Azure Boards for sprint planning. Pull requests and branch policies. Azure DevOps vs GitHub comparison. Complete project setup walkthrough. Eight common mistakes and seven interview Q and As.