In this course, you are going to learn how to build data pipelines with hands-on labs using Azure Data factory
This course covers demos for all concepts used in real-world projects from an industry expert with hands-on Labs.
Anyone can spend 1.5 hours and become an Azure Data engineer!
- This course will provide what is data factory, what are the various core components in azure data factory.
- This course is useful for those aspiring to become Azure data engineers.
- Those who want to switch their career from soft engineering to data engineer
- To expand their skills from AWS, GCP data engineer to AZURE data engineer
- To gain an in-depth understanding of the latest trends in azure data engineering
- This course covers the following topics.
- Basic concepts of various components in ADF
- What are ETL and ELT
- What is Linked Service,
- Demo for creating LinkedIn service
- What is a data set,
- Demo for creating a Data set
- What is Integration run time
- What is an Azure Data lake
- Demo for creating Azure data lake storage account
- What is Cosmos DB
- Demo for creating Cosmos DB
- What is COPY activity
- Demo for creating a data pipeline to move data from ADLS 2 to Cosmos DB using COPY Activity
- What are control flow activities-
- Get Metadata activity
- Demo for getting Metadata activity
- Filter activity
- Demo for Filter activity
- Demo for Each activity
- Demo for other Control flow activities
- What is DATA FLOW Activity
- Demo for removing Duplicate data using DATA FLOW Activity
The course is useful not only for freshers but also for experienced data engineers to gain more skills in Azure data engineering
