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Azure Data Factory | Data Engineering on Azure and Fabric

Data Factory on Azure and Microsoft Fabric, Azure DevOps (CI/CD), Azure Data Lake, Azure SQL and more (DP-203, DP-600)

  1. Topics
  2. IT & Software
  3. Data Pipelines

Azure Data Factory | Data Engineering on Azure and Fabric

InstructorMalvik Vaghadia
Duration10h 57m
Students23.3K
Rating4.6 (3,100)
Sponsored
Price
$17.99
Coupon
None
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Coupon history

Comidoc has tracked 1 coupon for this course since 2026, last checked 5 months, 2 days ago.

Coupon codeDiscountAddedStatusLifetime
MAY_DEALS44% offMay 18, 202605:10 PM UTCExpired4d 13h

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Comidoc Analysis

Azure Data Factory, DevOps, and Microsoft Fabric Integration

Strengths

Pipeline Logic and Security

Instruction covers diverse data transformation types including Select, Filter, Sort, Aggregate, and Join within Data Flows, alongside security via Service Principals and Azure Key Vault.

DevOps Integration

The curriculum includes source control with Git and automated build/release pipelines for deployment workflows.

Editorial course preview

What the public course preview actually shows

These 3 complementary views highlight concrete, legible examples from the course presentation.

Preview 1 of 3

This architectural diagram illustrates the dedicated course project workflow, mapping data movement from Azure Blob Storage through Data Lake Gen2 into a structured SQL database.

Preview 2 of 3

This visual overview outlines the course structure with seven key modules covering Azure storage, data flows, SQL databases, and pipeline orchestration.

Preview 3 of 3

This visual inventory highlights the core technologies covered in the course, including Azure Data Factory, storage solutions like Blob and Data Lake, and SQL databases.

Limitations

Fabric Environment Access

One signal from a review dated before the displayed update suggests difficulty accessing Data Factory within the Microsoft Fabric trial environment; however, the update label does not prove this has been corrected.

Instructional Pacing

One signal from a review dated before the displayed update indicates that technical steps may be navigated too quickly for some learners; the update label does not prove this has been corrected.

Best suited to

  • Aspiring cloud data engineers
  • Learners seeking Azure DevOps integration for data pipelines
  • Users wanting to integrate Azure Data Factory with Microsoft Fabric

Less suited to

  • Learners requiring troubleshooting of error-based scenarios
  • Those unable to access a full Microsoft Fabric environment

Comidoc Score

6.2/10

Worth considering
Defined audience

Comidoc verdict

The learning path moves from fundamental Azure Data Factory components—such as linked services and data flows—into advanced CI/CD workflows using Azure DevOps. This progression is supplemented by hands-on project activities involving dynamic datasets and SQL database storage.

The instruction provides specific coverage of transformation logic and security protocols. However, learners should be aware of potential hurdles when transitioning to Microsoft Fabric components, as some have reported difficulty accessing specific features within the standard trial environment.

This course is best suited for individuals with basic SQL knowledge who want to build automated, production-sited data pipelines in the Azure ecosystem.

Score breakdown

Curriculum depth
8.0

The curriculum provides specific coverage of various transformation types and end-to-end DevOps workflows.

Applied learning
6.5

Instruction includes specific project activities involving dynamic datasets and SQL storage.

Clarity & experience
5.0

Some learners find explanations clear through analogies, while others report pacing that is too fast to follow.

Currency & reliability
5.0

A signal regarding Microsoft Fabric trial access suggests potential version or environment-specific friction; this signal predates the displayed course update, and while the update may have addressed it, the update label does not prove that it was corrected.

Audience fit

Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.

5.0

The curriculum aligns with the target audience of cloud data engineers, though environmental access issues were noted; this signal predates the displayed course update, and while the update may have addressed it, the update label does not prove that it was corrected.

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