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ADF vs Databricks: When to Use Each
Azure Data Factory moves and orchestrates data; Azure Databricks processes it with Spark and has grown its own orchestration. This guide separates their roles, examines the three areas where they overlap, runs one transformation as PySpark code to compare with a visual data flow, and gives a way to choose.
ADF Control Flow: ForEach, If and Until Activities
Control flow activities turn a list of steps into logic. This guide covers the four that do most of the work in Azure Data Factory: ForEach for loops, If Condition and Switch for branching, and Until for polling, with each one's properties and documented limits, a JSON example, the nesting rule and concurrency traps.
Integration Runtimes in ADF: Azure, Self-Hosted and SSIS
The integration runtime is the compute behind every Azure Data Factory activity. This guide explains the three types, Azure, self-hosted and Azure-SSIS, what each can run and reach, how location is resolved, which runtime wins when source and sink differ, the self-hosted runtime's requirements, and how to choose.
Building an ETL Pipeline with ADF Step by Step
A first ADF pipeline copies data from A to B. A production ETL pipeline must also survive reruns, updated records and broken extracts. This step-by-step guide builds the stage, validate and merge design, shows on real runs why plain appends go wrong, and gives the ADF pipeline and stored procedure.