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🚀 Azure Data Factory REAL-TIME Scenarios (2025) | System Design + Interview Questions [HANDS-ON] 💻

Azure Data Factory Real Time Scenarios | Azure Data Factory | Azure Data Lake | Azure Data Engineer

Are you preparing for a Data Engineer or Azure-based interview in 2025? This video dives deep into REAL-TIME Azure Data Factory (ADF) scenarios, system design principles, and commonly asked interview questions — with hands-on demos and architecture walkthroughs!

📌 What you'll learn:
Real-world ADF pipelines and integration with Data Lake, Synapse, SQL, and Databricks
ETL/ELT best practices using ADF
Parameterization, triggers, linked services, and debugging
How to design scalable and cost-efficient ADF solutions
Common ADF interview questions + expert-level answers
Bonus: System Design Case Studies explained step-by-step

🧠 Who is this for?
Aspiring Azure Data Engineers
Professionals preparing for cloud/data engineering interviews
Anyone looking to master Azure Data Factory in 2025

🔗 Tools & Topics Covered:
Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Data Lake Storage
Azure SQL Database
Integration with Databricks
Real-Time Data Pipelines
System Design Concepts

💬 Don’t forget to like, share, and comment your questions!
📢 Subscribe for more hands-on cloud tutorials and interview prep in 2025!

#AzureDataFactory #DataEngineering #SystemDesign #ADFInterviewQuestions #Azure2025 #ETLPipeline #RealTimeData #AzureTraining #CloudComputing #DataEngineer #ADFHandsOn

In this video, I walk you through Azure Data Factory real-time scenarios using Azure Data Factory, Azure Data Lake, and APIs. We’ll cover key activities like Copy, ForEach, If Condition, GetMetadata, Filter, SetVariable, and more—showing you how to build complete end-to-end ETL pipelines in ADF.

Timestamp:
00:00 Introduction
1:28 Get File Names from Source Folder Dynamically in Azure Data Factory
9:06 Handle Error Rows in Data Factory Mapping Data Flows
21:25 Incrementally copy new and changed files based on Last Modified Date in Azure Data Factory
26:40 Delete old files from storage using Azure Data Factory
35:01 Merge Multiple rows in to Single row using Mapping data flow
43:34 Process fixed length text files by Azure Data Factory mapping data flows
53:25 Validate file schema before processing in Azure Data Factory
58:46 Log Pipeline Executions to SQL Table using Azure Data Factory
1:03:38 Remove Duplicate Rows using Mapping Data Flows
1:11:48 Copy multiple tables in bulk by using Azure Data Factory
1:20:00 Split Single row into Multiple rows using Mapping Data Flows
1:24:41 Run an activity if any one of set of activities fail in Azure data factory
1:30:30 Get Error message of Failed activities in Pipeline in Azure Data Factory
1:38:01 Running Total using Mapping Data Flow
1:43:21 Increment Keys from Existing Source Using Mapping Data Flow
1:54:10 Load CSV file in to JSON with Nested Hierarchy using Mapping Data Flow
2:01:29 Dynamic Column mapping in Copy Activity in Azure Data Factory
2:17:37 Send Email alert when Pipeline fails in Azure Data Factory
2:26:14 Get Latest File from Folder and Process it in Azure Data Factory
2:37:44 Execute Stored Procedure with Output Parameter in Azure Data Factory
2:41:48 Download file from API and load it in to Sink using Azure Data Factory
2:44:59 Not allow edits on Collaboration Branch in Azure Data Factory
2:51:37 Log Pipeline Executions to file Using Mapping Data Flows
3:07:18 Get Count of Files in Folder using Azure Data Factory
3:11:18 Slowly Changing Dimension(SCD) Type 1 Using Mapping Data Flow

WATCH MY PREVIOUS PLAYLIST:
➡️Azure Databricks-   • Databricks Tutorial  
➡️Azure Data Factory ADFV2-   • Data Factory ADFV2  
➡️Azure Synapse-   • Azure Synapse Tutorial in Hindi  
➡️Python Tutorials Hindi-   • Python Tutorials For Beginners In Hindi  
➡️Apache Sqoop-   • Sqoop Mastery  
➡️Databricks Scala-   • Databricks Tutorial Scala  
➡️Scala 3-   • Scala 3  

Other social links
Youtube-    / @datadevhq  
Linkedin-   / saurav-sarkar-b68309204  

Azure Data Factory REAL-TIME Scenarios (2025) - System Design + Interview Questions [HANDS-ON]

⭐Hashtags⭐
#azure #azuredatafactory #dataengineering

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