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Data Flow Debug and Performance in ADF
Debug mode lets you watch a data flow work on live data, and it bills like a running cluster. This guide covers what debug does and does not check, the four places a data flow loses time, cluster size and time to live, partitioning and skew measured on real data, and the pipeline designs that waste clusters.
Wrangling Data Flows vs Mapping Data Flows in ADF
Azure Data Factory has two visual ways to transform data: mapping data flows, built as a graph, and wrangling with Power Query. Both run on Spark. This guide compares authoring, connectors, supported functions and limits, shows what each is good at, and explains how the choice carries into Microsoft Fabric.
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.
Azure Data Engineer Certification (DP-203) Guide
Exam DP-203 and the Azure Data Engineer Associate certification were retired on 31 March 2025. This guide explains what that means for people who hold it or were studying for it, what the exam covered, how the Fabric Data Engineer Associate exam DP-700 differs, and how to plan your preparation now.
Incremental Data Loading in Azure Data Factory
Incremental loading copies only what changed since the last run. This guide explains the four approaches Azure Data Factory documents, builds the watermark pattern step by step, runs it on a real table to show what it catches and what it silently misses, and says when to use change tracking, dated folders or windows.
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.