Azure Data Factory Basics for Azure Data Engineer DP203+Lab

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Vijay S

1:53:59

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1 - Introduction

1 - What is Azure Data Factory and real world usecases.mp4

05:50

2 - Data engineering with ADF

2 - Data engineering Patterns using ADF.mp4

08:09

3 - Data Pipeline components in ADF

3 - PipelineActivities Integration Runtime Datasets and Linked Services.mp4

07:29

4 - ADF-Demo1-Create-new-Storage-Account-1.mov

09:30

4 - Demo Creating a storage account.mp4

09:30

5 - Demo Creating a Cosmos DB account.mp4

10:34

6 - Demo Creating a Dataset in Azure Data Factory.mp4

03:37

7 - Demo Creating a Linked Service in Azure Data Factory.mp4

04:02

8 - DemoADF DS to Cosmos db.mp4

02:51

9 - DemoADF to Cosmos DB linked service.mp4

02:47

10 - Demo Creating Data pipeline using COPY activity.mp4

07:49

4 - Control Flow and Data Flow activities

11 - Demo Control flow activities Metadata activity Filter and ForEach activity.mp4

10:24

12 - Demo Data flow activity for deduplication and aggregation.mp4

10:48

5 - Triggers and Monitoring

13 - Types of Integration runtimes.mp4

04:19

14 - Demo Create Azure Integration runtime.mp4

03:55

15 - Types of triggers.mp4

04:07

16 - Demo Ondemand trigger.mp4

04:47

17 - Demo Monitoring the ADF pipeline.mp4

03:31

Description

Learn Data engineering on Azure Data Factory real world projects in 1.5 hour. Start your career as Azure Data Engineer

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

Who is this for?

This course is useful for anyone aspiring to become data engineer

Those who started their journey as data engineer to learn more advanced concepts

Those who want to switch their career from any other software to data engineering

For practicing data engineers to get more insights on real world data pipelines design

Those who wants to optimize and improve the performance of data pipelines to process large scale data

This course is for every one including freshers and people shifting their career to IT field.

More details

Description
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 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 forÂ 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
Who this course is for:
This course is useful for anyone aspiring to become data engineer
Those who started their journey as data engineer to learn more advanced concepts
Those who want to switch their career from any other software to data engineering
For practicing data engineers to get more insights on real world data pipelines design
Those who wants to optimize and improve the performance of data pipelines to process large scale data
This course is for every one including freshers and people shifting their career to IT field.

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Microsoft Azure

Vijay S

Instructor's Courses

Hi, I am a certified Bigdata cloud architect with over 20 years of experience in the IT industry in architecture, design, and development in data engineering and cloud projects and currently working with Microsoft. I played the roles of lead developer, development manager, and director of engineering for Fortune 500 companies. I lived and worked in Switzerland, Belgium, Mexico, the Middle East, India, Canada, and the USA and helped clients. I am a certified data engineer and certified cloud architect.

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