How to Map Dataflows in Azure Data Factory | Brolly Academy
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In this video, you will learn the complete details about Azure Data Factory (ADF) — explained in Telugu with real-time examples and practical insights.
How to Map Dataflows in Azure Data Factory
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How to Map Dataflows in Azure Data Factory
Want to learn how to map dataflows in Azure Data Factory (ADF) step by step? 🚀 In this tutorial, we’ll walk you through the complete process of building, configuring, and managing mapping dataflows in ADF so you can easily design ETL pipelines, transformations, and data movement workflows in the cloud.
How to Map Dataflows in Azure Data Factory
Azure Data Factory is one of the most powerful data integration services on Microsoft Azure, and mapping dataflows allow you to perform no-code data transformations at scale. Whether you’re preparing data for analytics, migrating data to a warehouse, or handling complex business rules, this video will help you understand how to:
Create a mapping dataflow in Azure Data Factory.
Understand source and sink transformations.
Apply derived columns, aggregations, and conditional splits.
Debug and monitor your dataflows.
Best practices for data transformations in ADF.
This video is perfect for:
Beginners exploring Azure Data Factory for the first time.
Data Engineers and ETL Developers who want hands-on ADF experience.
Anyone preparing for Azure Data Engineer Associate (DP-203) certification.
🔑 Key Topics Covered:
Introduction to Azure Data Factory Mapping Dataflows
Setting up a Data Factory Pipeline
How to Map Dataflows in Azure Data Factory
Adding Source Datasets and Sink Destinations
Using Data Preview and Debugging
Common Transformation Functions in Mapping Dataflows
Real-time practical example for better understanding
By the end of this tutorial, you’ll have a clear understanding of mapping dataflows and how to use them in real-world data engineering projects.
📌 If you’re serious about a career in Data Engineering or working with big data and cloud platforms, mastering Azure Data Factory is a must.
Why Learn Azure Data Factory Mapping Dataflows?
Simplifies ETL (Extract, Transform, Load) process.
Enables code-free data transformations.
Integrates seamlessly with Azure SQL, Synapse Analytics, Data Lake, Blob Storage, and Power BI.
High demand for Azure Data Engineers in India, US, and globally.
How to Map Dataflows in Azure Data Factory
Timestamps:
0:00 – Introduction
1:15 – What is Mapping Dataflows in ADF?
3:40 – Creating a Mapping Dataflow
6:20 – Adding Source & Sink
9:50 – Data Transformations Explained
15:30 – Debugging & Data Preview
18:10 – Best Practices & Tips
20:00 – Final Thoughts
How to Map Dataflows in Azure Data Factory
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How to Map Dataflows in Azure Data Factory
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How to Map Dataflows in Azure Data Factory
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