Azure Data Factory For Data Engineers - Project on Covid19 — 90% Off Coupon
Real world project for Data Engineers using Azure Data Factory, SQL, Data Lake, Databricks, HDInsight, CI/CD [DP203]
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Course Title: Azure Data Factory For Data Engineers - Project on Covid19
Provider: Udemy (Listed via CoursesWyn)
Instructor: Ramesh Retnasamy
Coupon Verified On: April 2, 2026
Difficulty Level: All Levels
Category: IT & Software
Subcategory: Azure Data Factory
Duration: 12h 30m of on-demand video
Language: English
Access: Lifetime access to all course lectures and updates
Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
Top Learning Outcomes: You will learn how to build a real-world data pipeline in Azure Data Factory (ADF). · You will acquire good Data Engineering skills in Azure using Azure Data Factory (ADF), Azure Data Lake Storage Gen2, Azure SQL Database and Azure Monitor · You will learn how to ingest data from sources such as HTTP and Azure Blob Storage into Azure Data Lake Gen2 using Azure Data Factory (ADF)
Prerequisites: Basic understanding about cloud computing will be useful, but not necessary. · Experience in Azure is not required, I will take you through everything necessary to learn this course and build the project · An Azure Account is required, If you don't have one we will create a free account in the course
Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).
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What You'll Learn
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Requirements
Please review the following prerequisites to ensure you have the necessary tools and foundational knowledge for this training.
Basic understanding about cloud computing will be useful, but not necessary.
Experience in Azure is not required, I will take you through everything necessary to learn this course and build the project
An Azure Account is required, If you don't have one we will create a free account in the course
About This Course
Comprehensive curriculum analysis and educational value proposition from the official provider library hubs.
- Building a solution architecture for a data engineering solution using Azure Data Engineering technologies such as Azure Data Factory (ADF), Azure Data Lake Gen2, Azure Blob Storage, Azure SQL Database, Azure Databricks, Azure HDInsight and Microsoft PowerBI.
- Integrating data from HTTP clients, Azure Blob Storage and Azure Data Lake Gen2 using Azure Data Factory.
- Branching and Chaining activities in Azure Data Factory (ADF) Pipelines using control flow activities such as Get Metadata. If Condition, ForEach, Delete, Validation etc.
- Using Parameters and Variables in Pipelines, Datasets and LinkedServices to create a metadata driven pipelines in Azure Data Factory (ADF)
- Debugging the data pipelines and resolving issues.
- Scheduling pipelines using triggers such as Event Trigger, Schedule Trigger and Tumbling Window Trigger in Azure Data Factory (ADF)
- Creating Mapping Data Flows to create transformation logic. The course covers all of the transformation steps such as Source, Filter, Select, Pivot, Lookup, Conditional Split, Derived Column, Aggregate, Join and Sink transformation.
- Debugging data flows, investigating issues, fixing failures etc
- Implementing Azure Data Factory pipelines to invoke Mapping Data Flows and executing them.
- Creating ADF pipelines to execute HDInsight activities and carry out data transformations.
- Creating ADF pipelines to execute Databricks Notebook activities to carry out transformations.
- Creating dependency between pipelines to orchestrate the data flow
- Creating dependency between triggers to orchestrate the data flow
- Monitoring data pipelines, creating alerts, reporting of metrics from the Azure Data Factory Monitor.
- Monitoring of Data Factory pipelines using Azure Monitor and setting diagnostic setting to be forwarded to Azure Storage Account or Log Analytics Workspace.
- Creating Log Analytics workspace, creating workbooks and charts from log analytics on the Azure Data Factory pipelines
- Implementing the Azure Data Factory Analytics monitoring tool and how to extend the capability further.
- Creating Azure Storage Account, Creating containers, Uploading data, Access Control (IAM), Using Azure Storage explorer to interact with the storage account
- Creating Azure Data Lake Gen2, Creating containers, Uploading data, Access Control (IAM), Using Azure Storage explorer to interact with the storage account
- Creating Azure SQL Database, Pricing Tiers, Creating Admin User, Creating Tables, Loading Data and Querying the database.
- Creating HDInsight Clusters, Interacting with the UI, Using Ambari, Creating Hive tables, Invoking HDInsight activities from Azure Data Factory
- Creating Azure Databricks Workspace, Creating Databricks clusters, Mounting storage accounts, Creating Databricks notebooks, performing transformations using Databricks notebooks, Invoking Databricks notebooks from Azure Data Factory.
- Creating Azure Devops Environment and configuring Azure Devops Git Repository
- CI/ CD process for releasing Azure Data Factory artefacts to higher environments
- Creating build and release pipelines in Azure Devops to release code to higher environments (Test/ Prod)
- Configuring/ Parameterise CI/CD pipelines to release ADF pipelines that access Azure Data Lake Storage.
Meet Your Instructor
Academic background and professional track record of the subject matter expert responsible for this curriculum.
Ramesh Retnasamy
Verified Architect
A global leader with specialized excellence in IT & Software. Instructors are vetted for curriculum quality, responsiveness, and consistent student success across the Udemy platform.
Course Comparison
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| Feature Benchmarks | This Verified Offer | Global Standard |
|---|---|---|
| Cost Verification | FREE (100% Validated) | Fixed Subscription Fee |
| Enrollment Type | Professional Lifetime Access | Limited Time Ownership |
| Certification Award | Included with Access Code | Required Add-on Fee |
Expert Review
"After auditing the curriculum depth and verifying the live access protocol, Azure Data Factory For Data Engineers - Project on Covid19 stands as an essential career asset. For a verified cost of $0, the return-on-learning ratio far exceeds commercial alternatives."
✅ Strategic Advantages
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Official Certificate: Credential generated at no cost.
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Mobile Friendly: Full access via smart TV & mobile.
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Expert Pacing: Modular design for professional schedules.
❌ Considerations
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Technical Depth: Requires focused 10+ hours study.
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Tool Prep: Certain labs require proprietary software setups.
Course Rating
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Andrew Derek
Expert ReviewerAndrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.
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