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Azure Data Factory Roadmap 2026: A Complete Guide
A staged roadmap for learning Azure Data Factory in 2026: the six building blocks and how they relate, five stages from a first copy pipeline to deployed and monitored pipelines, a checkpoint for each stage, how Microsoft Fabric changes the picture, the state of the certifications, and the skills ADF does not replace.
ADF Pipelines Explained: Building Your First Pipeline
A beginner's guide to pipelines in Azure Data Factory: what a pipeline and an activity are, the three kinds of activity, the objects you create for a first copy from blob storage to a SQL table, the JSON behind the canvas, why Debug moves real data, what Publish does, and how to read a run's output.
Linked Services in Azure Data Factory Explained
A linked service is how Azure Data Factory connects to a data store or a compute service. This guide covers the two kinds, the anatomy of the JSON, authentication from keys to managed identities, keeping secrets in Key Vault, parameterising one linked service for many databases, and handling development and production.
Triggers in ADF: Schedule, Tumbling Window and Event
The four Azure Data Factory trigger types — schedule, tumbling window, storage event and custom event — compared on what they guarantee, with a decision table, trigger JSON you can adapt, and the settings that cause missed or duplicate runs.
Copy Activity in Azure Data Factory: A Practical Guide
The Copy activity is the workhorse of Azure Data Factory. This guide explains what it does in three steps, the formats and stores it handles, column mapping, the sink write behaviours, insert, pre-copy script and upsert, compared on a real table across three runs, fault tolerance, staging, and reading the output.
Mapping Data Flows in ADF: Transformations Without Code
Mapping data flows let you design transformations on a canvas in Azure Data Factory and run them on Spark clusters the service manages. This guide explains how they work, walks through one flow stage by stage with real row counts, and sets out when a data flow is the right tool.