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Azure Data Factory Basics for Azure Data Engineer DP203+Lab

Learn Azure Data Factory data engineering with real projects in 1.5 hours. Kickstart your Azure Data Engineer career!

4.6(20)
193students
1h 44m
Certificate
Vijay S
Vijay SPassion for sharing real world knowledge in Data and AI

Course Content

Azure Data Factory Basics for Azure Data Engineer DP203+Lab is an all-levels Udemy course taught by Vijay S. It runs 1h 44m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 20 reviews, with 193 students enrolled. It is a paid course, first published November 2022.

Unlock Your Azure Data Engineering Potential with Hands-On Data Pipelines!

Ready to become an Azure Data Engineer? This comprehensive course provides a practical path to mastering data pipelines using Azure Data Factory (ADF). Even with just 1.5 hours of focused learning, you can gain valuable skills and accelerate your career.

What You'll Learn:

  • Understanding Azure Data Factory: Get a clear understanding of what Azure Data Factory is and its core components.
  • ETL vs. ELT: Explore the differences between Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) methodologies.
  • Linked Services: Learn to configure and manage Linked Services – the connections to your data sources. Includes a live demo!
  • Data Sets: Discover how to define and utilize Data Sets for efficient data management. See a practical demonstration.
  • Integration Runtimes: Understand the role of Integration Runtimes in powering your data pipelines.
  • Azure Data Lake Storage: Learn about Azure Data Lake Storage and how to set up an account. Includes a demo!
  • Cosmos DB: Explore Cosmos DB and its capabilities for NoSQL data storage. Includes a demo on creating a Cosmos DB instance.
  • COPY Activity: Master the COPY Activity for seamless data movement. A detailed demo shows how to move data from ADLS 2 to Cosmos DB using the COPY Activity.
  • Control Flow Activities: Gain proficiency with essential Control Flow Activities, including:
    • Get Metadata Activity: Learn to retrieve metadata for data discovery. Includes a demo.
    • Filter Activity: Filter data based on specific criteria. Includes a demo.
    • ForEach Activity: Iterate through data sets for processing. Includes a demo.
    • Other Control Flow Activities: Explore a range of other control flow activities to enhance pipeline logic.
  • Data Flow Activity: Utilize the Data Flow Activity for powerful data transformation. A demo shows how to remove duplicate data using Data Flow Activity.

Who is this course for?

  • Aspiring Azure Data Engineers: A perfect starting point for those looking to break into the field.
  • Career Switchers: Ideal for individuals transitioning from software engineering or other technical roles into data engineering.
  • Data Engineers Expanding Skills: Enhance your existing skillset if you're already familiar with AWS or GCP data engineering and want to add Azure expertise.
  • Data Professionals: Gain an in-depth understanding of the latest trends in Azure Data Engineering.

This course is packed with hands-on labs and real-world demos led by an industry expert, ensuring you gain practical skills you can immediately apply. Start building robust data pipelines today!

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