DP-203: Data Engineering on Microsoft Azure
Course Overview
The course aims to provide students with the essential skills to implement and manage data engineering workloads effectively on Microsoft Azure. Participants will gain hands-on experience with various Azure services, including Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and other relevant tools.
Throughout the course, students will focus on executing common data engineering tasks. They will learn to orchestrate data transfer and transformation pipelines, ensuring efficient data movement. Working with data files in a data lake will be emphasized, covering aspects such as organization and accessibility.
Additionally, the course covers the creation and loading of relational data warehouses, teaching students how to structure and optimize data for analytical purposes. The curriculum also includes capturing and aggregating real-time data streams, enabling learners to process and analyze data in real-time.
Furthermore, participants will explore the importance of tracking data assets and lineage. They will understand how to maintain a comprehensive understanding of the origins, transformations, and dependencies of data sets, contributing to improved data governance and decision-making.
By the end of the course, students will have a solid foundation in implementing and managing data engineering workloads on Microsoft Azure. They will be equipped to tackle real-world data engineering challenges confidently, leveraging their skills and knowledge acquired throughout the course.
