Azure Data Factory For Data Engineers - Project on Covid19

Real world project for Data Engineers using Azure Data Factory, SQL, Data Lake, Databricks, HDInsight, CI/CD [DP203]
4.60 (15927 reviews)
Udemy
platform
English
language
Other
category
Azure Data Factory For Data Engineers - Project on Covid19
89 387
students
13 hours
content
Mar 2025
last update
$29.99
regular price

Why take this course?

🚀 [Course Headline] Azure Data Factory For Data Engineers - Project on Covid19 🏅 [Updates & Improvements]

  • October 2023: UI changes to Storage Browser, Azure Data Factory renamed to Microsoft Entra ID, Default settings updated to DevOps Organisation.
  • January 2023: Environment Set-up section updated with new User Interface changes, 5 lessons re-recorded for clarity.
  • November 2022: New sections on Continuous Integration & Continuous Delivery (CI/CD) added! 🔄

🎉 [Welcome Message] 🎓 Hello and welcome, future data engineering experts! I'm thrilled to guide you through the intricacies of Azure Data Factory (ADF), a cornerstone in cloud-based data engineering. This course is designed to tackle a real-world challenge: reporting on Covid-19 trends and predicting its spread using ADF. This hands-on approach will not only prepare you for a solo data engineering project but also make you proficient with Azure Data Factory by the end of our journey together!

🔍 [Course Overview] In this comprehensive course, you'll dive into the following key areas:

  1. Azure Data Factory: Master the art of creating robust pipelines that orchestrate complex data workflows with ADF. 🌧️
  2. Azure Storage Solutions: Get comfortable with Azure Storage Accounts, Azure Data Lake Gen2, and Azure SQL Database to store and manage your data effectively. 💾
  3. Azure HDInsight & Databricks: Learn to create and interact with HDInsight clusters and Databricks workspaces for powerful data transformations and analysis. 🧙‍♂️
  4. Azure DevOps (CI/CD): Implement Continuous Integration and Continuous Delivery processes to streamline your development lifecycle, ensuring your ADF pipelines are production-ready. 🔄

🛠️ [Skills & Tools] You'll work with a suite of Azure services, including:

  • Mapping Data Flows
  • Trigger dependencies
  • Monitoring tools and analytics
  • And much more! ✨

📈 [Hands-On Project Work] Throughout the course, you'll engage in a project focused on the Covid-19 pandemic. This real-world scenario will allow you to apply what you learn in practical, impactful ways. You'll:

  • Design and deploy ADF pipelines
  • Execute HDInsight and Databricks activities
  • Set up CI/CD pipelines for ADF artefacts
  • And ultimately contribute to a significant cause while enhancing your technical skill set! 🌍

🎓 [Learning Path] Here's what you can expect to learn and accomplish:

  1. Azure Data Factory Monitor: Learn how to monitor, alert, and report on ADF pipelines for optimal performance.
  2. Log Analytics & Workbooks: Create powerful visualizations from log data to gain insights into your ADF pipelines.
  3. Data Factory Analytics: Explore the advanced monitoring tool and extend its capabilities to meet your specific needs.
  4. Azure Storage Solutions: Set up and manage Azure Storage, Data Lake Gen2, and SQL Database to store and analyze large volumes of data securely.
  5. HDInsight & Databricks: Interact with Hadoop clusters and execute notebooks for complex data processing tasks.
  6. CI/CD with Azure DevOps: Automate your deployment process and ensure a smooth transition from development to production environments.

🔥 [Join the Community] This course is more than just learning; it's about joining a community of like-minded professionals who are passionate about data engineering and making a difference. Let's embark on this journey together! 🤝

Sign up now and transform your career with Azure Data Factory and the power of cloud computing! 🚀💥

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Comidoc Review

Our Verdict

This course offers in-depth knowledge of Azure Data Factory, CI/CD pipelines, and best practices for production-ready pipelines. While there are minor concerns regarding the HDInsights section, outdated UI, and speaker's pace, the pros still outweigh the cons with its comprehensive content, real-world examples, and valuable tips. The course serves as an excellent starting point for those wanting to become Azure data engineers or ADF developers.

What We Liked

  • Comprehensive coverage of Azure Data Factory (ADF) and associated tools with a real-world project on Covid19 data
  • In-depth explanations of CI/CD pipelines in Azure DevOps for releasing ADF pipelines to higher environments
  • Valuable tips and best practices for building production-ready pipelines, monitoring, and naming conventions
  • High-quality content with real-world datasets that help build confidence in creating simple ADF Pipelines

Potential Drawbacks

  • The HDInsights section needs improvement, with outdated content affecting the overall learning experience
  • The speaker's pace can be too fast at times, requiring constant pausing and rewinding which may disrupt the flow
  • Lacks in-depth coverage of Data Quality and Datawarehouse implementation using star or snowflake schema
  • Minor issues with outdated Azure UI and a need for more imagery to visualize outputs

Related Topics

3685634
udemy ID
06/12/2020
course created date
03/01/2021
course indexed date
Angelcrc Seven
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