We live in a data-rich world where the size, complexity, and uses of data are growing exponentially every day. The modern data engineer must build solutions to move, transform, and consolidate both structured and unstructured data from a variety of sources. Azure provides all the necessary services to accomplish these tasks and build a robust data analytics solution. Obtaining the title of Microsoft Certified: Azure Data Engineer Associate signals to the world that you are versed in building such solutions. In this course, we cover what you will need to know in order to be successful on the DP-203 certification exam. We start with an understanding of what data engineering is and how Azure meets the needs of this role, move on to covering data storage, data ingestion and transformation, building batch and stream processing, and how to secure, optimize, and troubleshoot your solutions. Microsoft’s exam objectives have been carefully woven into the course and can be easily found using lesson descriptions or the included mapping guide. Those objectives include: Design and implement data storage Design and develop data processing Design and implement data security Monitor and optimize data storage and data processing
Overview
Syllabus
- Introduction
- Data Engineering Crash Course
- Data Storage
- Data Ingestion and Transformation
- Batch Processing Solutions
- Stream Processing Solutions
- Data Serving Layer
- Configuring Security and Compliance
- Monitoring Data Storage and Data Processing
- Optimizing and Troubleshooting Data Storage and Processing
- Conclusion
Taught by
Brian Roehm