Azure Data Factory, Synapse, pipelines
Decode every JSON structure in Azure Data Factory. Covers Linked Services, Datasets, Pipelines (simple copy, metadata-driven, incremental, audit logging), Triggers, Integration Runtimes, and Data Flows. Learn to read, edit, and troubleshoot ADF JSON for Git integration and CI/CD.
Master Data Flows in ADF and Synapse. Covers all transformation types with real-life analogies, step-by-step build guide, Debug cluster costs, performance optimization, and when to use Data Flow vs Copy Activity.
Data Flows in Azure Data Factory and Synapse: Visual Data Transformation Without Code Read More »
Master trigger-to-pipeline parameter passing in ADF. Covers Schedule, Tumbling Window, and Storage Event trigger outputs, step-by-step wiring, system variables reference, real-world scenarios with analogies, and common mistakes.
Passing Parameters from Triggers to Pipelines in Azure Data Factory: The Complete Guide Read More »
Build a complete on-premises to Azure data pipeline using Self-Hosted Integration Runtime. Covers VM setup with SQL Server, SHIR installation, linked services, metadata-driven Copy pipeline, architecture diagrams, high availability, and production best practices.
Building an On-Premises to Azure Data Pipeline with Self-Hosted Integration Runtime Read More »
Complete guide to CI/CD for ADF and Synapse using Azure DevOps. Covers Azure Repos setup, connecting ADF/Synapse to DevOps, YAML pipelines, multi-stage deployments, pre/post scripts, approval gates, variable groups, branch policies, and enterprise patterns.
Master all three ADF trigger types. Schedule triggers for fixed-time runs, Tumbling Window for guaranteed time-series processing with backfill, and Event-Based triggers for file-driven pipelines. Includes setup steps, comparison table, and common patterns.
Complete guide to Azure SQL Database for data engineers. Covers service tiers, DTU vs vCore, authentication methods, Managed Identity, firewall rules, stored procedures, temporal tables, pipeline integration, and cost optimization.
Azure SQL Database for Data Engineers: Setup, Configuration, and Pipeline Integration Read More »
Everything a data engineer needs to know before starting an Azure project. Covers subscriptions, resource groups, IAM roles, Managed Identity, Key Vault, regions, tags, cost management, networking basics, Azure CLI, and a complete project setup checklist.
Master all three Azure Integration Runtime types: Azure IR (auto-resolve and custom), Self-Hosted IR for on-premises access, and Azure-SSIS IR for SSIS packages. Includes setup steps, real-world architectures, performance optimization, network security, cost analysis, and interview questions.
Azure Integration Runtime Explained: Types, Use Cases, and Real-World Examples Read More »
Build an automated cleanup pipeline in ADF that scans ADLS Gen2 folders, checks file ages using Get Metadata, and deletes files older than your retention period using If Condition and Delete activities.
