Data Engineering
Build Real Pipelines: Azure Data Factory in Action
Build, schedule and monitor real pipelines in Azure Data Factory, including the error handling most tutorials skip.
Build, schedule and monitor real pipelines in Azure Data Factory, including the error handling most tutorials skip.
Part of Data Engineering: The Complete, Job-Ready Program
Taught by Sharuk Shaik
Enterprise data engineering trainer with 10+ years of experience and 3000+ students trained
- Lessons
- 16
- Length
- 5h 14m
- Live classes
- 2
- Level
- Intermediate
₹7,999
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- 16 recorded lessons, yours for the life of the enrollment
- 2 live classes with your instructor
- 1 downloadable resource
- Verifiable certificate on completion
What you will be able to do
- Build parameterised, reusable pipelines rather than one-off copies
- Choose correctly between the Copy activity and a mapping data flow
- Orchestrate multiple pipelines with triggers and control-flow activities
- Read the monitoring view and design pipelines that fail safely, not silently
About this course
Most ADF tutorials show you how to build a pipeline that works once, on a demo dataset, on a good day. This course is about the pipeline that still works after the source schema changes, a run fails halfway through, and nobody is watching the monitoring page when it happens.
We cover the building blocks — linked services, datasets, the Copy activity and data flows — then spend real time on parameters, triggers and orchestration, and finish with monitoring and error handling, the module that separates a working demo from something you can put in production.
Who it is for
- Data engineers working in, or moving into, an Azure environment
- ETL developers migrating from an on-premises tool to a cloud-native one
- Analysts who need to understand pipelines their team already runs
What you need
- A free-tier Azure subscription (setup covered in Module 1)
- Basic SQL, useful but not required
Curriculum
4 modules · 16 lessons · 5h 14m
Lessons marked Preview are free to watch.
- What ADF is for, and what it is not Preview 13m
- Linked services and connecting to real sources Preview 22m
- Datasets: describing the shape of your data 16m
- Your first pipeline: a simple copy 20m
- The Copy activity in depth 24m
- Mapping data flows for transformation without code 29m
- Handling schema drift gracefully 19m
- Data flow vs stored-procedure activity 11m
- Parameterising pipelines for reuse 23m
- Schedule, tumbling window and event-based triggers 21m
- Chaining pipelines and passing values between them 18m
- Control flow: ForEach, If and Until activities 20m
- Reading the monitoring view like an incident report 17m
- Retry policies and failure paths 19m
- Alerting when a pipeline fails silently 15m
- Real-world project: an incremental API-to-warehouse pipeline 27m
Your instructor
Sharuk Shaik
Enterprise data engineering trainer with 10+ years of experience and 3000+ students trained
Sharukh Sir is a seasoned data engineering professional with over a decade of experience building and managing enterprise data platforms across multiple industries including banking, insurance, retail, and healthcare.
Having worked with organizations ranging from fast-growing startups to Fortune 500 companies, he brings a unique perspective that blends deep technical knowledge with practical business understanding.
His teaching philosophy is simple: theory without practice is incomplete. Every concept is taught with real-world context, every module ends with hands-on exercises, and every student graduates with production-grade project experience.
His mission is to make every student industry-ready from day one — not just in tools and technology, but in mindset, problem-solving, and professional communication.
Student reviews
Clear structure and the warehouse project saved me hours of trial and error. A couple of sections assume you already have a trial account set up, which took me a bit to sort separately.
Fiona Clarke · 10 Sep 2026
Common questions
Anything else, just ask.
Build Real Pipelines: Azure Data Factory in Action
16 lessons, 5h 14m of instruction , plus 2 live sessions.
₹7,999
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