Learn ETL & Big Data Processing - Azure Data Factory(ADF), SQL, Blob, Datalake, REST API, PySpark, Databricks, DeltaLake
⚡ Quick Summary
- 📚 92 lectures • 28h 53min • All Levels
- ⭐ 4.5/5 from 1.4K reviews • 12.4K students
- 👨🎓 By Atchyut Kumar
- 💰 Price: €12.99 • 30-day guarantee
📊 Course Details
🎯 Who Is This Course For?
✔ Ideal For
- Learners at any experience level
- Anyone wanting to learn you will learn how to build a real time data pipeline in azu
❌ Not Ideal For
- Those who don't understand English (US)
- Those seeking accredited academic degrees
🎯 What You'll Learn
📄 Full Course Description
Welcome to the Course "Azure Data Factory - Data Engineer : Real Time Projects".
Learn ETL and Big Data Processing on Azure with Azure Data Factory V2
Azure Data Factory (ADF) is one of the in-demand data engineering tool in the Cloud. This course has been taught with covering a data engineering solutions using ADF for real world scenarios.
Once you complete this course including assignments, quizzes, you will be in a position to take up or handle confidently any kind of projects one equal to 10+ years of experience.
Entire course built based on real time scenarios which are going to use very frequently and common to any type of projects on various domains.
This course will gives you necessary skills and help you greatly to pass for Certification exams like DP200 and DP203.
What this course will teach you?
You will learn how to build a real time data pipeline in Azure Data Factory (ADF).
You will learn how to transform data using Data Flows in Azure Data Factory (ADF) and load into ADLS2, Blob storage.
You will learn how to ingest JSON data from SQL Server to API end point.
You will learn how to build production ready pipelines and good practices and naming standards.
You will learn how to monitor pipelines using Azure Data Factory (ADF), Azure Monitor and Log Analytics with a real-world project.
You will learn about manual/Triggers in Azure Data Factory (ADF) and how to use them to schedule the data pipelines.
Create Data driven, fully integrated, dynamic and automated production grade pipeline creation and orchestration.
Data Warehousing Concepts like Fact & dimension tables, SCD type1, type2, Incremental loading and implement using ADF.
Connect & copy data from On Premise data stores, On premise SQL server via Self Hosted Integration Runtime to cloud.
How to ingest data from sources such as REST API, Azure Blob Storage, SQL DB into Azure Data Lake Gen2 using Azure Data Factory (ADF)
⚖ Pros & Cons
👍 Pros
- 12.4K students enrolled - high demand in IT & Software
- Outstanding 4.5/5 rating from 1.4K verified reviews
- 92 well-structured lectures with 28h 53min content
- Taught by Atchyut Kumar - Renowned GATE CS Expert | Data Engineer | Programming Mentor
👎 Cons
- Taught in English (US) - may need subtitles for non-speakers
- Pre-recorded format without live instructor interaction
- Not an accredited academic credential
👨🎓 About the Instructor
Atchyut Kumar
Renowned GATE CS Expert | Data Engineer | Programming Mentor
⭐ 4.5 Rating • 👥 12.4K Students
🎓 How to Enroll
Visit Udemy for pricing.
Takes under 1 minute.
Access all 92 lectures.
❓ Frequently Asked Questions
🔍 People Also Ask
📖 Sources & References
- Course data: Masterclass on Azure Data Factory - Data Engineer for 2026 on Udemy
- Platform info: About Udemy
- Refund policy: Udemy Refund Policy
- Rating & enrollment data verified via Udemy source on
⚡ TL;DR
Masterclass on Azure Data Factory - Data Engineer for 2026 is a highly recommended course with exceptional ratings and strong enrollment.
Backed by Udemy's 30-day money-back guarantee.
🎓 Enroll Now
Masterclass on Azure Data Factory - Data Engineer for 2026
🔒 30-day money-back guarantee
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