What's the total duration of "Azure Data Factory For Data Engineers - Project on Covid19"?

This training contains 12h 30m of video lessons that you can watch on-demand. Once enrolled, you'll have unlimited lifetime access to revisit any section whenever you want.

Can I add this course completion to my LinkedIn profile?

Absolutely! After finishing all modules, you'll receive an official certificate from Udemy. You can download it as a PDF and upload it directly to LinkedIn, your resume, or portfolio to showcase your new skills.

Azure Data Factory For Data Engineers - Project on Covid19 — 90% OFF Discount Coupon

Name: Azure Data Factory For Data Engineers - Project on Covid19
Price: 9.99 USD
Availability: InStock
Rating: 4.6 (98602 reviews)

Real world project for Data Engineers using Azure Data Factory, SQL, Data Lake, Databricks, HDInsight, CI/CD [DP203]

★4.6 out of 5

98,602 students

Created by Ramesh Retnasamy

English

Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Azure Data Factory For Data Engineers - Project on Covid19 before you enroll:

•Course Name: Azure Data Factory For Data Engineers - Project on Covid19

•Platform: Udemy

•Instructor: Ramesh Retnasamy

•Coupon Last Verified: May 3, 2026

•Level: All Levels

•Topic: IT & Software

•Subtopic: Azure Data Factory

•Total Time: 12h 30m of video content

•Language: English

•Access Type: Unlimited lifetime access + updates

•Certificate: Included upon completion from Udemy

•Main Skills: 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)

•Requirements: 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

•Current Price: $9.99 (was $99.99). You save $90.00 with 90% discount.

•How to Apply: Click the coupon button to activate your discount automatically

💡

Tip:For best results, apply the coupon in a regular browser window rather than incognito/private mode.

Skills You'll Master

By the end of Azure Data Factory For Data Engineers - Project on Covid19, you'll have these practical skills:

✓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) .

✓You will learn how to transform data using Data Flows in Azure Data Factory (ADF) and load into Azure Data Lake Storage Gen2 .

✓You will learn how to transform data using Databricks Notebook Activity in Azure Data Factory (ADF) and load into Azure Data Lake Storage Gen2 .

✓You will learn how to transform data using Azure HDInsight Activity in Azure Data Factory (ADF) and load into Azure Data Lake Storage Gen2 .

✓You will learn how to load transformed data from Azure Data Lake Storage Gen2 to Azure SQL Database using Azure Data Factory (ADF) .

✓You will learn extensively about Triggers in Azure Data Factory (ADF) and how to use them to schedule the data pipelines. .

✓You will learn how to monitor pipelines using Azure Data Factory (ADF), Azure Monitor and Log Analytics with a real-world project. .

✓You will learn how to build production ready pipelines and good practices and naming standards .

✓You will learn the topics required on Azure Data Factory to pass the Azure Data Engineer Associate Certification Exam DP203 .

✓You will learn about how to create CI/CD pipelines in Azure Devops to release ADF pipelines to higher environments (Testing/ Production).

What You Need Before Starting

Before enrolling in Azure Data Factory For Data Engineers - Project on Covid19, make sure you have:

•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 Udemy Course

The following is the full official course description for Azure Data Factory For Data Engineers - Project on Covid19 as published on Udemy by instructor Ramesh Retnasamy:

Major updates to the Azure Data Factory For Data Engineers - Project on Covid19 course since the launch

October 2023 - Updates related to UI changes to Storage Browser & Azure Data Factory. Renaming of Azure Active Directory to Microsoft Entra ID & Default settings changes to Devops Organisation

January 2023 - Updates to section 3 (Environment Set-up) to reflect the change to the User Interface. Re-recorded 5 lessons.

November 2022 - Addition of sections 15 & 16 focusing on Continuous Integration & Continuous Delivery (CI/CD)

Welcome!

I am looking forward to helping you with learning one of the in-demand data engineering tools in the cloud, Azure Data Factory (ADF)! This course has been taught with implementing a data engineering solution using Azure Data Factory (ADF) for a real world problem of reporting Covid-19 trends and prediction of the spread of this virus.

This is like no other course in Udemy for Azure Data Factory or Data Engineering Technologies. Once you have completed the course including all the assignments, I strongly believe that you will be in a position to start a real world data engineering project on your own and also proficient on Azure Data Factory (ADF).

I have also included lessons on the storage solutions such as Azure Data Lake Storage, Azure Blob Storage, Azure SQL Database etc. Also, there are lessons on Azure HDInsight and Azure Databricks. I have even included lessons on building reports using Power BI on the data processed by the Azure Data Factory data pipelines. I have considered the machine learning models to be out of scope. You can use this data to build your own models and predict the spread.

The course follows a logical progression of real world project implementation with technical concepts being explained and the data pipelines in Azure Data Factory (ADF) being built at the same time. Even-though this course is not specifically designed to teach you the skills required for passing the Azure Data Engineer Associate Certification exam DP203, it can greatly help you get most of the necessary skills required for the exam.

I value your time as much as I do mine. So, I have designed this course to be fast-paced and to the point. Also, the course has been taught with simple English and no jargons. I start the course from basis and by the end of the course you will be proficient in the technologies used.

Currently the course teaches you the following

Azure Data Factory

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.

Azure Storage Solutions

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.

Azure HDInsight & Databricks

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.

Azure Devops (CI/CD)

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.

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Is the Azure Data Factory For Data Engineers - Project on Covid19 Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 3, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Azure Data Factory For Data Engineers - Project on Covid19 is a high-value resource for learners seeking to build skills inIT & Software. Taught by Ramesh Retnasamy on Udemy, the 12h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $99.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

Verified 90% price reduction makes this course accessible to learners on any budget.
Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
Strong enrollment base with over 98,602 students demonstrates course popularity and trust.
Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Azure Data Factory For Data Engineers - Project on Covid19:

The depth of IT & Software coverage may be challenging for absolute beginners without the listed prerequisites.
Lifetime access is contingent on the continued operation of the Udemy platform.
Hands-on projects and quizzes require additional time investment beyond video watch time.

Final Verdict: Worth It

This course offers exceptional value with current pricing

✓

Course Rating Summary

Azure Data Factory For Data Engineers - Project on Covid19 Course holds an aggregate rating of 4.6 out of 5 based on 98,602 student reviews on Udemy.

4.6

★★★★★

98,602 Verified Ratings

5 stars

75%

4 stars

15%

3 stars

2 stars

1 star

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Ramesh Retnasamy, the instructor responsible for creating and maintaining Azure Data Factory For Data Engineers - Project on Covid19 on Udemy.

Azure Data Factory For Data Engineers - Project on Covid19 is taught by Ramesh Retnasamy, a Udemy instructor specializing in IT & Software. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Ramesh Retnasamy

•Subject Area: IT & Software

•Teaching Approach: Practical, project-based instruction focused on real-world application of IT & Software skills.

View Full Instructor Profile on Udemy ↗

Frequently Asked Questions

The following questions and answers cover the most common queries about Azure Data Factory For Data Engineers - Project on Covid19, its coupon code, pricing, and enrollment process.

About the Author

Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating

✓Trusted by 10K+ Students