Get a quick jumpstart in your journey of Azure Data Engineer.Create ETL pipelines using Data Factory, Data Lake & SQL DB.
Azure Data Engineer Workshop In A Weekend
9h 18m 40s
English
Paid
Why Take This AMAZING Course?
Highest Rated Instructor Here On Udemy For Azure
Learn From A Professional Who Works as Azure Data Architect and Has Taught More Than 40,000Students.
THE MOST UPDATE AND MODERN TUTORIAL. Dont Settle For Outdated Content!
Focus of this course is to provide a quick jumpstart in your journey of Azure Data Engineer.
The most popular part of the course is it contains 100% practical hands on lab sessions and minimal theory.
In this course, you are going to learn the most important technologies required for Azure Data Engineer like Azure Data Lake Gen2, Azure SQL DB, Azure Data Factory etc.
If you are planning for Azure Data Engineer certification (DP-203) then this course will provide a good foundation
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Watch Online 29 lessons
0:00
/ #1: Fundamentals of cloud computing
All Course Lessons (29)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Fundamentals of cloud computing Demo | 31:28 | |
| 2 | Create FREE Azure account | 11:47 | |
| 3 | What is Azure Data Factory? | 04:32 | |
| 4 | Lab:Create Azure Data Factory | 12:39 | |
| 5 | Lab: Building blocks of Azure Data Factory | 53:07 | |
| 6 | Lab: Copy Data - Scenario 1 | 54:43 | |
| 7 | Lab: Copy Data - Scenario 2 | 30:15 | |
| 8 | Lab: Lookup Activity | 09:12 | |
| 9 | Lab: GetMetadata Activity | 09:55 | |
| 10 | Lab: Filter Activity | 14:20 | |
| 11 | Lab: Foreach Loop | 12:11 | |
| 12 | Lab: If condition Activity | 15:40 | |
| 13 | Lab: Execute Pipeline Activity | 01:53 | |
| 14 | Dataflow Overview | 10:33 | |
| 15 | Lab: Source | 24:53 | |
| 16 | Lab: Join | 10:26 | |
| 17 | Lab: Select & Sort | 10:33 | |
| 18 | Lab: Exists | 09:05 | |
| 19 | Lab: Derived Column | 18:43 | |
| 20 | Lab: Filter | 04:44 | |
| 21 | Lab: Aggregate | 10:20 | |
| 22 | Lab: Conditional Split | 09:59 | |
| 23 | Lab: New Branch | 05:09 | |
| 24 | Lab: Sink & Alter | 36:09 | |
| 25 | Lab: Parameters | 49:23 | |
| 26 | Theory: Incremental Data Load | 16:10 | |
| 27 | Lab: Incremental Data Load | 45:03 | |
| 28 | Theory: Slowly Changing Dimension | 09:26 | |
| 29 | Lab: Slowly Changing Dimension | 26:22 |
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