Jerry Nixon
Microsoft Nerd in Colorado
Denver, Colorado, United States
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Jerry Nixon, an Engineer based in Colorado, is a Product Manager at Microsoft on the Azure Data Platform, focusing on SQL Developer Experiences. With more than two decades of experience, he excels in developing, designing, and delivering software. He's spoken at tiny venues and giant launch events. He's trained thousands of developers. Jerry is currently a Professor of Computer Science at Colorado Christian University in Denver. As a seasoned author and creator, he hosts shows like Open at Microsoft, DevRadio, and SQL Tips for Developers. He also trains in public speaking. Advocating for users and clean, maintainable code, Jerry's core passions lie in accessible design, data engineering, and plain-ole software development. Throughout his tenure at Microsoft, Jerry has collaborated closely with flagship product teams. He has a deep history of field engineering for Microsoft's largest customers and craziest products. While most of his days revolve around Outlook, Visual Studio, and online Docs, what he enjoys most is teaching his three beautiful daughters Star Trek character backstories and episode plots.
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SQL DB: a developer's catalyst
Let's discuss the new feature added for support developers in their day-to-day work: we'll go over what we released recently, what is in the work and what is planned. From the new JSON Data Type, T-SQL string operations, Data API builder, External REST calls, Change Data Capture, AI capabilities and more. We'll discuss where the development space is going and what we should to do support the evolution of development and developers into whatever the future holds. If you are a data developer, make sure to come to this session!
Software Architecture 101 (and 102)
Nice and easy. What are the table stakes of building an application? Does it scale? Does it perform? Is it secure? Is it observable? Is it distributed and safe? Of course, it is! Let's review together what everyone else already knows about software architecture.
Computer Speech and http://luis.ai
Convolutional Neural Networks are used in Machine Learning to enable vision and process images. Recurrent Neural Networks, however, are used to make computers freakishly good at speech. Come see what can be done and learn the basics of implementing LUIS, Microsoft's machine learning service that enables custom speech in your applications.
A Deep Dive into DevOps Practices with Azure SQL
Explore the intricacies of DevOps practices tailored for Azure SQL in this demo-heavy session, highlighting both the inner and outer development loops. Embark on a journey through the essential principles of Database version control, Immutable Database Infrastructure, Schema Management, Testing, and Seamless CI/CD. Bid farewell to the notorious "But it worked on my computer!" dilemma by embracing robust DevOps practices, fostering trust and efficiency across your development cycles—from local environments to the expansive cloud. Navigate the array of Azure SQL tools for DevOps practices with potent command-line tools, and uncover seamless integration with industry-leading third-party tools such as GitHub Actions, Codespaces, Terraform, and extensions for popular IDEs like VS Code and Azure Data Studio.
A Deep Dive into Microsoft Fabric Data Warehouse
In this technical presentation, we will explore the intricacies of Microsoft Fabric Data Warehouse, unravelling its capabilities and demonstrating effective strategies for its utilization. As organizations navigate the evolving landscape of data management, Fabric Data Warehouse emerges as a powerful solution, offering scalability, performance, and flexibility. Join us to delve into the core functionalities of Fabric Data Warehouse, understand best practices for implementation, and discover how to harness its potential to enhance your data processing workflows. Whether you are a seasoned data professional or just embarking on your data journey, this session promises insights and practical guidance for leveraging Microsoft Fabric Data Warehouse effectively in your projects.
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.
An Instant API using Data API builder
Create an applications API layer from a single configuration file. A standards-based implementation of GraphQL and REST that supports Azure SQL DB, CosmosDB, PostgreSQL, or MySQL. Data API builder (DAB) is a .NET, open-source project from the Azure Data team. DAB auto-generates a containerized data API for real world, on-prem or cloud applications without compromise.
Design Patterns for Building Data APIs with Scale, Performance, and Resiliency
Architects and engineers have a lot of choices when it comes to building an API. That's especially true when chasing scalability and performance goals. Let's enumerate the big options we have and discuss what to weigh when choosing the best for your next solution.
Modern Architecture 101 for New Engineers & Forgetful Experts
Today's landscape of architectural choices for enterprise solutions is vast, with real problems to solve and consequential issues stemming from those solutions. Various tools and frameworks exist, yet there are fundamental patterns that distinguish enterprise solutions from one-off applications. We will examine a typical enterprise architecture piece-by-piece, focusing on the choices architects make when addressing common problems and requirements.
Tunisia Dev Days 2024 Sessionize Event Upcoming
Momentum 2024 Sessionize Event Upcoming
Triangle Area SQL Server User Group (TriPASS) User group Sessionize Event
Microsoft Learn Zero to Hero Community User group Sessionize Event
Denver Dev Day | May 2024 Sessionize Event
DataGrillen 2024 Sessionize Event
A Dash of .NET User group Sessionize Event
SQLBits 2024 - General Sessions Sessionize Event
Explore DDD 2024 Sessionize Event
Azure User Group Sweden User group Sessionize Event
DeveloperWeek 2024 Sessionize Event
NDC London 2024 Sessionize Event
Denver Dev Day | Spring 2023 Sessionize Event
Denver Dev Day | Fall 2022 Sessionize Event
Denver Dev Day | Summer 2018 Sessionize Event
Jerry Nixon
Microsoft Nerd in Colorado
Denver, Colorado, United States
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