Azure Data Factory For Azure Data Engineer And Dp-203 Exam

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
Requirements
There are no prerequisites for this course. No programming experience is required
It is good to have basic knowledge of ETL tools but not compulsory
It is good to have some knowledge in SQL but not mandatory
Every one is able to understand this course
Description
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 engineerTo expand their skills from AWS, GCP data engineer to AZURE data engineerto gain an in-depth understanding of the latest trends in azure data engineeringThis course covers the following topics.Basic concepts of various components in ADFWhat are ETL and ELT What is Linked service, Demo for creating Linked serviceWhat is a data set, Demo for...

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