Azure Data Factory: A Complete Guide

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Arindam Mondal

1:47:02

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1. Introduction

1. Introduction.mp4

02:27

2. What is Azure Data Factory.mp4

00:54

3. Create an Azure Data Factory Service.mp4

04:27

4. Key Components in Data Factory.mp4

02:11

5. Create your first pipeline.mp4

03:05

2. Getting started with Azure Data Factory

1. Pipeline.mp4

01:07

2. Activities.mp4

01:03

3. Linked Services.mp4

01:04

4. ADF Portal.mp4

01:47

3. Most Used Activities

1. Copy Data Activity.mp4

05:31

2. Data Flows.mp4

01:20

3. Lookup Activity.mp4

03:44

4. Append Variable Activity.mp4

05:11

5. Set Variable Activity.mp4

01:50

6. Stored Procedure Activity.mp4

01:56

7. Execute Pipeline Activity.mp4

02:15

8. Filter Activity.mp4

04:52

9. ForEach Activity.mp4

04:10

10. If Activity.mp4

05:28

11. Switch Activity.mp4

06:11

12. Until Activity.mp4

04:52

13. Knowledge Check.html

4. Data Flow Transformations

1. Flatten Transformations.mp4

06:08

2. Aggregate Transformations.mp4

02:21

3. Derived Column Transformations.mp4

01:33

4. Aggregate Transformations.mp4

02:21

5. Conditional Split Transformations.mp4

03:56

6. Surrogate Key Transformations.mp4

01:49

5. Enhancing Pipeline Features

1. Parameters.mp4

04:24

2. Variables.mp4

01:06

3. Triggers.mp4

01:51

4. Templates.mp4

06:42

6. Pipelines by example

1. Merge multiple files to a single file.mp4

03:21

2. Sending Alerts to Microsoft Teams.mp4

06:05

Description

Learn to create pipelines in Azure Data Factory

What You'll Learn?

Create Pipelines on Azure Data Factory
Learn to use variables , parameters and complex pipelines
Schedule Pipeline using Triggers
End to end project on Azure Data Factory

Who is this for?

Data Engineer

SQL Developer wants to know about Data Factory

Data Analyst curious about Data Pipeline

What You Need to Know?

There is no prerequisite for this course

More details

Description
Welcome to the Azure Data Factory Course.

Key highlights of the course are below:

This course covers topics from basics to advanced.
Most used activities added.
Advance topics like variables ,parameters ,expressions added.
Schedule pipeline using triggers.
Most used data flow transformations added.
Debugging and Troubleshooting pipelines.
Monitor pipeline.
Send alerts from pipeline to Microsoft Teams channel.
Interview questions were added to help prepare for the interview.
Frequently added and updated courses as Microsoft release new updates on the product.
Real-time pipeline examples are given.
This course will also help you in your Azure Data Engineering career.
A quiz is available to check your knowledge.

Who should take this course:

Anyone interested to start a cloud journey.
Students want to start a career in Azure Data Engineering.
Freshers interested in Data Engineering.
Professionals with On-premises ETL knowledge.
Data Professionals wants to learn advance topics in Azure Data Factory.
Anyone wants to crack ETL or ADF interview.
Data Scientist interested inÂ Data Engineering topics.
Cloud professionals wants to completed Azure certifications such as DP-900 and DP-203.

Prerequisite:
There is no prior knowledge required for this course. However, if you have knowledge of the basics of SQLÂ it will help you understand quickly.

Who this course is for:
Data Engineer
SQL Developer wants to know about Data Factory
Data Analyst curious about Data Pipeline

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I have professional experience on different Technologies like Power BI,SQL Server,SSIS,SSRS,SSAS,Microsoft Azure cloud platform,AWS platform and Big Data etc. I have experience working with tech startups to Fortune 500 companies to help them with large enterprises in utilizing their data assets . I also have experience on corporate training and consultancy for many years

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