2 Real World Azure Data Engineer Project End to End

🚀 Course Title: 2 Real World Azure Data Engineer Project End to End

🎉 Headline: Engineering Project Building from scratch - Designing, Architecting, Implementing and Testing a Full-fledged Solution!

📘 Course Description:

Are you ready to elevate your Azure Data Engineering skills to the next level? This course is meticulously crafted to ensure that you not only grasp the concepts but also master them with real-world projects that I, Deepak Goyal, have personally worked on for major clients. 🌟

This isn't just another theoretical course. Here's what sets this apart:

• Precision and Efficiency: We've cut out the fluff to deliver only the most essential information, saving you valuable time.
• Real-time Implementation: The projects discussed in this course are based on real-world use cases, ensuring that you can add this experience to your resume.
• Interview and Discussion Ready: Learn complex architectural solutions that align with industry best practices, making you well-prepared for technical discussions and interviews.
• Comprehensive Integration: Each project involves a blend of various Azure services like ADF, ADLS, Databricks, Azure SQL DB, and Key Vault, giving you a robust understanding of system integration.
• Experience for Newcomers: If you're new to data engineering, this course is designed to provide you with real-time experience that's often challenging to come by.

Course Highlights:

• Real-world project experience 🌐
• Aligned with industry best practices 🏗️
• Can be added to your resume 🚀
• Showcases hands-on experience in interviews and discussions 💼
• Complex architecture solutions 🔧
• Integration of various Azure components 💪

Technologies Involved: We'll dive into the following technologies:

1. Azure Data Lake Storage Gen 2
2. Azure Data Factory & Pipeline
3. Azure Functions
4. Azure Key Vault
5. Azure SQL DB
6. SSMS
7. AWS S3 Bucket
8. Databricks Integration (with SQL Server and ADLS)
9. S3 to Azure Cloud Connection
10. Triggers and SAS Token Management
11. Secrets in Databricks and Key Vault

What You Will Learn: Upon completing this course, you will be able to:

• Think, design, and develop data engineering solutions 🤖
• Create architecture diagrams for data engineering projects 📈
• Set up Azure Data Factory and Azure Data Lake Storage Gen 2 accounts 🎫
• Establish a Databricks workspace 🏭
• Implement logic in Databricks notebooks using pyspark 🧠
• Connect ADF to Databricks, chain multiple pieces together, and create end-to-end pipelines 🔗
• Create Azure SQL Server instances and load data from files to the server 🛠️
• Connect Databricks notebooks with Azure SQL Server and store secrets in Azure Key Vault securely 🔒

Join me, Deepak Goyal, on this journey to become an expert Azure Data Engineer with real-world experience that will set you apart in the industry! 🎓🚀