Jerry Nixon
Jerry Nixon is a Microsoft SQL Server Principal Product Manager on the Developer Experiences team, championing Data API builder. With more than two decades of experience, Jerry is an engineer at heart. He teaches Computer Science at university and speaks at events worldwide. Over the years, he has trained thousands of developers, but today, he focuses on software simplicity, intuitive tooling, and excellence in data-driven apps. You'll find him talking about quantum computing, design patterns, machine learning, and—on occasion—SQL Server, the finest of them all. He lives in Colorado, and while most of his days revolve around Outlook, Visual Studio, and online Docs, what he enjoys most is teaching his three daughters Star Trek character backstories and episode plots.
Modern Architecture 101 for New Engineers & Forgetful Architects
I've been a Microsoft field engineer for fourteen years—learn from my experience and mistakes. Today’s landscape of architectural choices for enterprise solutions is vast, with real problems to solve and real issues that come with those solutions. Big enterprises or small, problems are problems. There are plenty of tools and frameworks, but what really sets enterprise solutions apart from one-off applications are the fundamental patterns. In this session, we’ll break down a typical enterprise architecture piece by piece, focusing on the decisions engineers and architects make when tackling common problems and requirements. We’ll dive into areas like scalability, security, integration, and maintainability, giving you practical insights whether you’re new to the field or just need a refresher.
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.
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 is a Microsoft SQL Server Principal Product Manager on the Developer Experiences team, championing Data API builder. With more than two decades of experience, Jerry is an engineer at heart. He teaches Computer Science at university and speaks at events worldwide. Over the years, he has trained thousands of developers, but today, he focuses on software simplicity, intuitive tooling, and excellence in data-driven apps. You'll find him talking about quantum computing, design patterns, machine learning, and—on occasion—SQL Server, the finest of them all. He lives in Colorado, and while most of his days revolve around Outlook, Visual Studio, and online Docs, what he enjoys most is teaching his three daughters Star Trek character backstories and episode plots.
Modern Architecture 101 for New Engineers & Forgetful Architects
I've been a Microsoft field engineer for fourteen years—learn from my experience and mistakes. Today’s landscape of architectural choices for enterprise solutions is vast, with real problems to solve and real issues that come with those solutions. Big enterprises or small, problems are problems. There are plenty of tools and frameworks, but what really sets enterprise solutions apart from one-off applications are the fundamental patterns. In this session, we’ll break down a typical enterprise architecture piece by piece, focusing on the decisions engineers and architects make when tackling common problems and requirements. We’ll dive into areas like scalability, security, integration, and maintainability, giving you practical insights whether you’re new to the field or just need a refresher.
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.
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.