Azure Data Factory Basics for Azure Data Engineer DP203+Lab

🌟 Course Headline:

Azure Data Factory Basics for Azure Data Engineers - DP203 + Lab

🚀 Course Description:

• Understanding ADF Basics: Get acquainted with the foundational concepts of Azure Data Factory and its significance in data engineering.

• ETL and ELT Processes: Discover the difference between ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes and how they are implemented in ADF.

• Linked Services and Data Sets: Learn how to create Linked services that connect your data sources and understand how Data sets play a pivotal role in your data pipeline's functionality.

  • Demo for Creating Linked Service
  • Demo for Creating Data set

• Integration Runtime: Explore the importance of Integration Run time within ADF and how it facilitates data movement between cloud services and on-premises systems.

• Azure Data Lake Storage Account: Gain practical experience in creating an Azure Data Lake storage account to manage your data at scale.

• Cosmos DB Setup: Learn step-by-step to create a Cosmos DB instance, understanding its application within ADF pipelines.

  • Demo for Creating Cosmos DB

• Data Movement with COPY Activity: Understand and execute the movement of data from Azure Data Lake Storage (ADLS) 2 to Cosmos DB using the COPY Activity.

• Control Flow Activities: Get hands-on practice with key control flow activities such as:

  • Get Metadata Activity
  • Filter Activity
  • ForEach Activity
  • (And more!) Demo for ForEach activity

• Data Flows in ADF: Discover how to use the DATA FLOW Activity to cleanse and transform your data, including a demo on removing duplicate data.

• Freshers: Kickstart your career as an Azure Data Engineer with this insightful course.
• Experienced Professionals: Enhance your skillset and stay ahead in the rapidly evolving field of Azure data engineering.

🎓 Who Should Attend?

• Aspiring Azure Data Engineers
• Data Engineers looking to transition into Azure ecosystem
• Professionals aiming to expand their data engineering skillset from AWS/GCP to Azure
• Anyone interested in the latest trends and advancements in Azure data engineering