Azure Data Factory for Data Engineers
Udemy · Ramesh Retnasamy · Updated
AI Tutor Rating
8.2/10
Duration
12.5 hours video
Classes
145
Real world project for Data Engineers using Azure Data Factory, SQL, Data Lake, Databricks, HDInsight, CI/CD.
Azure Data Factory for Data Engineers on Udemy is a 12.5-hour video course taught by Ramesh Retnasamy. It provides practical training for building and orchestrating data pipelines on Microsoft Azure. The curriculum covers core concepts of Azure Data Factory, workflow orchestration, and implementing CI/CD for data engineering. It also integrates related Azure services like Databricks, Data Lake, and HDInsight within real-world project contexts. This course serves data engineers and professionals looking to develop scalable ETL/ELT pipelines and automate deployment processes using Azure's data integration services.
What you'll learn in Azure Data Factory for Data Engineers
Our Review of Azure Data Factory for Data Engineers
The Azure Data Factory for Data Engineers course is structured around a real-world project, which gives the 145 lectures a cohesive, applied focus. This project-based approach, moving from core concepts through tools like Databricks and Data Lake to CI/CD implementation, suggests learners will finish with a portfolio-ready understanding of building operational pipelines. The teaching format is exclusively video-based across 12.5 hours, offering depth in specific Azure services but requiring learners to be comfortable with self-directed, screen-focused learning without interactive labs.
The curriculum promises actionable outcomes: building scalable pipelines, orchestrating workflows, and implementing CI/CD. Given the prerequisite of only basic SQL, the course appears designed to bridge foundational knowledge to intermediate, cloud-specific engineering. The $12.99 price point for a certificate-bearing course creates high accessibility and value, especially for professionals seeking affordable, credential-backed skill validation in a high-demand niche. However, the value is contingent on the learner's ability to translate video demonstrations into their own Azure environment, as no guided platform access is indicated.
Ultimately, the course's strength is its focused, end-to-end project scope covering a modern Azure data stack. The depth seems substantial for the duration, tackling optimization, best practices, and case studies. The certificate adds formal recognition, enhancing the cost-to-benefit ratio for career-focused learners who can supplement the videos with hands-on practice.
Pros and cons of Azure Data Factory for Data Engineers
Pros
- Project-based curriculum centered on a real-world data engineering scenario for practical learning
- Comprehensive coverage of the Azure data ecosystem including Data Factory, Databricks, Data Lake, and CI/CD
- Affordable pricing at $12.99 for a certificate-bearing course with over 12 hours of content
- Clear, actionable learning outcomes focused on building and orchestrating scalable data pipelines
- Structured progression from core concepts to advanced integration and optimization topics
Things to consider
- Requires learners to have their own Azure environment for hands-on practice alongside videos
- Solely video-based format may not suit learners who prefer interactive coding exercises or text
- Assumes motivation and discipline for self-directed learning without instructor interaction
Who should take Azure Data Factory for Data Engineers?
This course is an ideal fit for data professionals, such as analysts or junior engineers with basic SQL knowledge, who need to quickly gain practical, project-based skills in Azure Data Factory and its ecosystem. It suits learners seeking a cost-effective path to build and orchestrate ETL/ELT pipelines, implement CI/CD, and earn a certificate for career advancement, provided they are comfortable learning from a video-only format and can apply concepts in their own Azure subscription.
Course curriculum for Azure Data Factory for Data Engineers
Azure Data Factory for Data Engineers at a glance
| Provider | Udemy |
|---|---|
| Instructor | Ramesh Retnasamy |
| Level | Advanced |
| Time to complete | 12.5 hours video |
| Pricing | $12.99 |
| Certificate | Certificate |
| Prerequisites | Basic SQL |
Fit
Best for
Not ideal for
The bottom line on Azure Data Factory for Data Engineers
Azure Data Factory for Data Engineers delivers strong practical value for its price, offering a certificate and a project-driven dive into a key Azure service. It is a solid choice for self-motivated learners who can extrapolate from video tutorials to their own cloud environment, effectively bridging basic SQL to in-demand cloud engineering skills.
Azure Data Factory for Data Engineers: frequently asked questions
What does the Azure Data Factory for Data Engineers course actually teach you to build?
The Azure Data Factory for Data Engineers course teaches you to build scalable ETL/ELT data pipelines on Azure, orchestrate workflows with Azure Data Factory, and implement CI/CD processes for data engineering projects, using a real-world project as the guiding framework.
What background knowledge is required before taking this Azure Data Factory course?
The only stated prerequisite for the Azure Data Factory for Data Engineers course is basic SQL knowledge, making it accessible to data analysts, database professionals, or anyone with foundational data querying skills looking to move into cloud data engineering.
Is the certificate from this Udemy course on Azure Data Factory valuable for a resume?
The certificate of completion from this Udemy course provides formal recognition of skill acquisition in Azure Data Factory and CI/CD, which can be a valuable, affordable credential to list on a resume or LinkedIn profile for data engineering roles.
How does this Udemy course compare to official Microsoft training for Azure Data Factory?
Compared to official Microsoft training, this Udemy course on Azure Data Factory is significantly more affordable at $12.99 and is structured around a single, applied real-world project, offering a streamlined, practitioner-focused path versus potentially broader or more theoretical official curricula.
What is the best way to get the most out of the Azure Data Factory for Data Engineers course?
To get the most from the Azure Data Factory for Data Engineers course, learners should have an active Azure subscription ready to follow along with the video demonstrations, practice building the pipelines concurrently, and apply the CI/CD and optimization concepts to their own data scenarios.