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 40,000 Students.
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 Dont Settle For Outdated Content!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
About the Author: Udemy
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Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.
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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Frequently asked questions
What are the prerequisites for enrolling in this Azure Data Engineer course?
The course does not explicitly list prerequisites, but a basic understanding of cloud computing is likely beneficial, as it covers fundamentals of cloud computing early in the lessons. Familiarity with data processing concepts and SQL may also help, given the focus on Azure Data Factory and SQL Database.
What will I be able to build by the end of this course?
By the end of the course, you will be able to create ETL pipelines using Azure Data Factory, Data Lake, and SQL Database. You will have hands-on experience through labs that cover activities like copying data, using lookup and filter activities, implementing foreach loops, and executing pipelines, among others.
Who is the intended audience for this Azure Data Engineer course?
The course is designed for individuals looking to quickly jumpstart their career as an Azure Data Engineer. It is suitable for beginners who wish to gain practical skills in building ETL pipelines using Azure tools, as well as for professionals seeking to enhance their data engineering capabilities on the Azure platform.
How does the depth of this course compare to other data engineering courses?
This course provides a focused, hands-on approach to learning Azure Data Factory and related tools in a short timeframe. It emphasizes practical labs and exercises, which may offer less depth but more immediate applicable skills compared to more comprehensive courses that cover broader data engineering techniques and theories.
What specific tools or platforms are covered in this course?
The course covers Azure Data Factory as the primary tool for building ETL pipelines. It also involves creating a free Azure account and uses Azure Data Lake and SQL Database as part of the data engineering workflow. Key activities and concepts like data flow, conditional splits, and incremental data load are also explored.
What topics are not covered in this course?
This course does not cover topics outside of Azure Data Factory, Data Lake, and SQL Database. Advanced data engineering topics, such as machine learning integrations, big data processing with services like Azure Databricks, or comprehensive data governance strategies, are not included.
What is the expected time commitment for completing this course?
The course is designed to be completed over a weekend, suggesting a time commitment of approximately two full days. With 29 lessons, including numerous labs and hands-on activities, students should be prepared to dedicate focused time to fully engage with and practice the material.