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Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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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.
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.
Azure Data Factory (ADF) Interview Questions
Senior Azure Data Factory interviews rarely ask for definitions. They hand you a design problem and watch how you reason. Here are six of those exercises, each built on a documented ADF limit, with the trap the interviewer is looking for and a model answer. The numbers come from a small calculator you can rerun.
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.
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.
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.