Friday 

Room 3 - Level 4 

15:00 - 16:00 

(UTC±00

Talk (60 min)

Workflows of Highly Functional App & Data Engineering Teams

How does a highly functional development team manage enterprise data engineering? They focus on the core principles of Schema Management, Standards Enforcement, Database Testing, and Automated Incremental Deployment. Microsoft brings an agonizing menu of choices to architects and engineers; they can be a challenge to wade through. This session can help. Let’s review how some of the world’s largest and most critical app & data engineering teams handle change management, observability, and quality at enterprise scale.

Tools
.NET
Database
DevOps

Goals:

• Understand how enterprise teams manage schema control, including versioning, migrations, and updates, to ensure data consistency across all environments.

• Explore how enterprise teams ensure engineering quality through automated testing, code reviews, and standards enforcement.

• Learn how enterprise teams automate reliable delivery through continuous integration and deployment, reducing errors and improving efficiency.

Jerry Nixon

Jerry Nixon is an Engineer based in Colorado. He's a Product Manager on the Azure Data Platform focusing on Developer Experiences. With over two decades of experience, he excels in developing, designing, and delivering software solutions. He's a professor of computer science in Denver. As a seasoned speaker, author, and teacher, Jerry hosts shows like Open at Microsoft, Microsoft DevRadio, and SQL Tips for Developers. Advocating for users and passionate about clean, maintainable code, his core expertise lies in design, data engineering, and software development. As a PM on the Microsoft SQL team dedicated to Developer Experiences, Jerry collaborates closely with flagship product teams. Jerry has a deep history of field engineering for Microsoft's largest customers. While most of his days revolve around Outlook, Visual Studio, and Docs, he enjoys spending his own time teaching his three daughters Star Trek character backstories and episode plots.