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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

Production-ready

✓ Instant download✓ Lifetime updates✓ MIT licensed✓ MIT license✓ Secure checkout (Stripe)

📋 What's Inside 16 files

✓ README.md— Product overview, contents, and getting started guide
✓ manifest.json— Product manifest and metadata
✓ pipelines/rest_api_ingestion.json— REST API ingestion pipeline with pagination, retry, and error handling
✓ pipelines/sftp_file_ingestion.json— SFTP file pickup and processing pipeline
✓ pipelines/sql_server_cdc.json— SQL Server change data capture pipeline with watermark tracking
✓ pipelines/blob_copy_with_metadata.json— Parameterized blob-to-blob copy with metadata tracking
✓ pipelines/event_driven_trigger.json— Event Grid triggered pipeline for real-time file processing
✓ pipelines/databricks_notebook_activity.json— ADF pipeline calling Databricks notebooks with cluster management
✓ linked-services/linked_service_templates.json— 10 linked service configuration templates
✓ terraform/adf-infrastructure/main.tf— Terraform configuration for ADF resource provisioning
✓ terraform/adf-infrastructure/variables.tf— Terraform variable definitions
✓ terraform/adf-infrastructure/outputs.tf— Terraform output definitions
✓ guides/adf_databricks_patterns.md— ADF-to-Databricks integration patterns guide
✓ guides/error_handling_patterns.md— Error handling and retry patterns guide
✓ guides/cost_optimization.md— ADF cost optimization guide

📁 File Structure 16 files

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

📖 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)

Template	Description
`rest_api_ingestion.json`	REST API ingestion with pagination, retry policies, and incremental load support
`sftp_file_ingestion.json`	SFTP file pickup with pattern matching, archival, and processing validation
`sql_server_cdc.json`	SQL Server change data capture with watermark tracking and merge operations
`blob_copy_with_metadata.json`	Parameterized blob-to-blob copy with metadata tracking and audit logging
`event_driven_trigger.json`	Event Grid triggered pipeline for real-time file processing
`databricks_notebook_activity.json`	ADF-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)

... preview truncated, see full README in product download.

📄 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:

📅 Changelog

v1.0.0 — Initial release.

Purchases include lifetime updates. Check the product page for the latest version.

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