2022 Azure Data Factory Basics for Azure Data Engineer DP203

2022 Azure Data Factory Basics for Azure Data Engineer DP203 - Learn Data engineering on Azure Data Factory real world projects in 1.5 hour. Start your career as Azure Data Engineer

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Created by Vijay S

In this course, you are going to learn how to build data pipelines with azure data factory for real-world projects from an industry expert with hands-on Labs.

Anyone can spend 1.5 hours time 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 Linked service

What is a data set,

Demo for creating 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

ForEach activity

Demo for ForEach 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

What you'll learn

Data engineering with Azure data factory in real world projects to process large scale data
Data movement and migration using copy data activity from various sources
Data transformations and processing using Data flow activity
Creating linked services to connect with various data sources
Creating Integration runtime to run the ADF pipeline
Implementing different types of triggers in Azure Data Factory
Data monitoring and and alerts in Azure Data factory

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