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Azure Data Factory Integration Templates

$49

15 production-ready ADF pipeline templates for REST API, SFTP, SQL Server, and Event-driven ingestion into Databricks lakehouse.

📁 16 files🏷 v1.0.0
JSONMarkdownTerraformYAMLAzureDatabricksCI/CD

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📁 File Structure 16 files

azure-data-factory-templates/ ├── README.md ├── cicd/ │ └── adf-devops-pipeline.yml ├── guides/ │ ├── adf_databricks_patterns.md │ ├── cost_optimization.md │ └── error_handling_patterns.md ├── linked-services/ │ └── linked_service_templates.json ├── pipelines/ │ ├── blob_copy_with_metadata.json │ ├── databricks_notebook_activity.json │ ├── event_driven_trigger.json │ ├── rest_api_ingestion.json │ ├── sftp_file_ingestion.json │ └── sql_server_cdc.json └── terraform/ └── adf-infrastructure/ ├── main.tf ├── outputs.tf └── variables.tf

📖 Documentation Preview README excerpt

Azure Data Factory Integration Templates

By [Datanest Digital](https://datanest.dev) — Production-Ready ADF Pipelines & Infrastructure

Overview

A comprehensive collection of Azure Data Factory pipeline templates, linked service configurations, Terraform infrastructure-as-code, and operational guides designed for enterprise data integration workloads. Every template follows Microsoft best practices for error handling, retry logic, parameterization, and cost optimization.

What's Included

Pipelines (6 Templates)

TemplateDescription
rest_api_ingestion.jsonREST API ingestion with pagination, retry policies, and incremental load support
sftp_file_ingestion.jsonSFTP file pickup with pattern matching, archival, and processing validation
sql_server_cdc.jsonSQL Server change data capture with watermark tracking and merge operations
blob_copy_with_metadata.jsonParameterized blob-to-blob copy with metadata tracking and audit logging
event_driven_trigger.jsonEvent Grid triggered pipeline for real-time file processing
databricks_notebook_activity.jsonADF-to-Databricks notebook orchestration with cluster management

Linked Services (10 Templates)

Pre-configured linked service templates for:

  • Azure SQL Database
  • Azure Blob Storage
  • Azure Data Lake Storage Gen2
  • REST API (OAuth2 / API Key)
  • SFTP
  • Azure Databricks
  • Azure Key Vault
  • Azure Synapse Analytics
  • On-Premises SQL Server (Self-Hosted IR)
  • Azure Event Hubs

Terraform Infrastructure

  • main.tf — Full ADF resource provisioning with managed identity, diagnostics, and networking
  • variables.tf — Parameterized variables with sensible defaults
  • outputs.tf — Key resource outputs for downstream automation

Guides

  • ADF-to-Databricks Integration Patterns — Architecture patterns, cluster strategies, parameter passing
  • Error Handling & Retry Patterns — Circuit breakers, dead-letter queues, alerting strategies
  • Cost Optimization — Self-hosted IR sizing, concurrency tuning, pipeline optimization

CI/CD

  • adf-devops-pipeline.yml — Azure DevOps pipeline for ADF ARM template deployment across environments

Getting Started

Prerequisites

  • Azure subscription with Data Factory resource provider registered
  • Terraform >= 1.5.0 (for infrastructure provisioning)

... continues with setup instructions, usage examples, and more.

📄 Code Sample .yml preview

cicd/adf-devops-pipeline.yml # --------------------------------------------------------------------------- # Azure DevOps CI/CD Pipeline for Azure Data Factory # Datanest Digital (https://datanest.dev) # # Validates ADF ARM templates on PR, deploys to dev/staging/production # with pre- and post-deployment scripts for trigger management. # --------------------------------------------------------------------------- trigger: branches: include: - main - adf_publish paths: include: - adf/* pr: branches: include: - main paths: include: - adf/* parameters: - name: environment displayName: "Target Environment" type: string default: "dev" values: - dev - staging - production - name: skipPrePostDeployment displayName: "Skip pre/post deployment trigger management" type: boolean default: false variables: - group: adf-common-variables - name: vmImageName value: "ubuntu-latest" - name: adfResourceFolder value: "$(Build.Repository.LocalPath)/adf" - ${{ if eq(parameters.environment, 'dev') }}: - group: adf-dev-variables - ${{ if eq(parameters.environment, 'staging') }}: - group: adf-staging-variables - ${{ if eq(parameters.environment, 'production') }}: # ... 220 more lines ...
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