Ultimate Azure Data Factory: Cloud Data Engineering

Welcome. Data engineering is a thriving focus in the IT industry, with Microsoft's Azure Data Factory emerging as a sought-after tool in cloud-based data engineering. Join this course for a step-by-step journey into mastering Azure Data Factory (ADF).

Using a real-world scenario of an e-commerce company grappling with data integration and insights, we'll explore the data of an online wine retailer, showcasing how implementing a modern data warehouse with ADF can provide solutions. Distinguishing itself from other Udemy offerings on Azure Data Factory and Data Engineering Technologies, this course guides you hands-on in transforming raw data into a Modern Data Warehouse using Azure Data Factory (ADF). Upon completion, you'll gain proficiency in ADF, ready to tackle real-world data engineering projects.

Given the course's focus on real-world business scenarios, it adopts a sequential approach mirroring how such requirements unfold in actual projects. This method ensures you not only implement business needs but also grasp the technical concepts explained at each stage of implementing data pipelines with Azure Data Factory (ADF). This course covers more than just modern data warehouse concepts like architecture, medallion layers, and delta lake.

You'll also gain expertise in utilizing diverse Azure ecosystem solutions, including Azure Data Lake Storage, Azure SQL Database, and Azure Databricks. Additionally, you'll learn to visually represent the completed data warehouse through Power BI reports. This course enables you to grasp concepts and skills assessed in the Azure Data Engineer Associate Certification exam DP203.