Azure Data Factory For Data Engineers - Project on Covid19

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:
- Azure Data Factory: Master the art of creating robust pipelines that orchestrate complex data workflows with ADF. 🌧️
- Azure Storage Solutions: Get comfortable with Azure Storage Accounts, Azure Data Lake Gen2, and Azure SQL Database to store and manage your data effectively. 💾
- Azure HDInsight & Databricks: Learn to create and interact with HDInsight clusters and Databricks workspaces for powerful data transformations and analysis. 🧙♂️
- 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:
- Azure Data Factory Monitor: Learn how to monitor, alert, and report on ADF pipelines for optimal performance.
- Log Analytics & Workbooks: Create powerful visualizations from log data to gain insights into your ADF pipelines.
- Data Factory Analytics: Explore the advanced monitoring tool and extend its capabilities to meet your specific needs.
- Azure Storage Solutions: Set up and manage Azure Storage, Data Lake Gen2, and SQL Database to store and analyze large volumes of data securely.
- HDInsight & Databricks: Interact with Hadoop clusters and execute notebooks for complex data processing tasks.
- 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