Essential SQL: Azure Data Factory and Data Engineering

🚀 Essential SQL: Azure Data Factory and Data Engineering with Kris Wenzel 📚

Course Headline:

Master the Art of Data Engineering using Azure Data Factory (ADF)! Dive into the world of Data Mapping Flows, harness the power of SQL Stored Procedures, and orchestrate your data with finesse. 🛠️💻

Course Description:

Unlock the potential of Azure Data Factory to streamline your data engineering tasks with this comprehensive online course. Perfect for both novices and seasoned professionals, this course serves as an ideal introduction to the robust capabilities of ADF from a data engineer's perspective.

Why Take This Course?

• Hands-On Learning: Engage in practical examples as you create an ETL (Extract, Transform, Load) process to manage movie rating data, providing real-world context and application. 📈

• Versatile Transformation Techniques:

  • Azure Data Mapping Flows: Embrace the simplicity of no-code ETL solutions within Azure.
  • Python Integration: For those who prefer programming, learn how to achieve the same transformations using Python scripts. 🐍
  • SQL Mastery: Utilize your SQL skills and stored procedures to craft sophisticated pipelines that cater to complex data needs.

Course Highlights:

• Explore Three Transformation Methods: Discover various approaches to ingest, transform, and store data, and understand when and how to use each one effectively.

• Cross-Skill Learning: If you're a SQL guru but new to Python, start with the familiar SQL methods before experimenting with Python or Azure Data Mapping Flows. This course is designed for learning multiple methods, enhancing your data engineering skillset. 🤝

• Flexible Learning Path: No matter your starting point, this course will guide you through the steps to become proficient in using ADF for all your data engineering needs.

What You'll Learn:

• Azure Data Factory Overview: Get a comprehensive understanding of its architecture and components.

• Designing Data Pipelines: Learn how to design and implement pipelines that can handle various data tasks.

• Data Transformation Techniques: Understand the nuances of transforming data using Azure Data Mapping, Python, and SQL Stored Procedures.

• Practical Implementation: Apply your knowledge by creating your own ETL process with movie rating data.

• Best Practices: Gain insights into efficient data management within Azure Data Factory.

Who Should Take This Course?

• Data Engineers looking to leverage ADF for their projects.
• Developers interested in expanding their skills with Azure services.
• SQL programmers aiming to integrate their expertise with cloud-based data solutions.
• Anyone curious about learning different methods of ETL within a cloud environment. 🌥️

Embark on your journey to becoming an Azure Data Factory wizard today! With Kris Wenzel as your guide, you'll navigate through the complexities of data engineering and emerge with a comprehensive skill set that will set you apart in the field. 🎓✨