Jerry Nixon

Senior Program Manager, Azure SQL

SQL Server Developer Experience Program Manager for Data API builder.

Post by this author

Data API builder Version 0.11 Brings In-Memory Caching

April 18th, 2024
Literally, I just said that! I have three daughters, and it's amazing how they ask me the same questions over and over. I don't mind answering them, but I sure wish they would either remember my answer or, at least, write it down. There's a measurable cognitive load with the context switching and staying consistent in my answers. And that's a ...

Relationship Advice from Data API builder

December 18th, 2023
Data API builder exposes REST endpoints for MySQL, PostgreSQL, Cosmos DB, SQL Server and Azure SQL. REST (Representational State Transfer) endpoints allow developers to easily query a single table, view or stored procedure. However, Data API builder also exposes GraphQL endpoints. Like REST, GraphQL returns data, but unlike REST, GraphQL can ...

Build your API with DAB. Build your client with Kiota!

October 27th, 2023
Project Kiota is a code generation engine from Microsoft that reads the OpenAPI specification emitted from any REST endpoint and then creates reusable client code in CSharp, Go, Java, PHP, Python, Ruby, Swift, and TypeScript. Kiota is a byproduct of Microsoft Graph, a sophisticated REST endpoint that required developers to write boilerplate ...

Data API builder Now Supports ENV Files

September 20th, 2023
In September, Data API builder (DAB) revved with some great new features. In this article we’ll talk about controlling environment variables with ENV files. What is Data API builder? DAB is an open source, cross-platform engine that creates instant REST & GraphQL APIs for your database - MySQL, Postgres, Cosmos DB or Microsoft SQL. Without any code, DAB uses only a JSON configuration file that explains how to access your data and what objects to expose.

Model your Supply Chain in a Graph Database | Part 1

May 17th, 2023
In this article, we'll explore the fascinating intersection of supply chains and graph databases. We'll explore the intricacies of supply chains, understand their complexities, and explore the practical benefits of utilizing graph databases for modeling and optimizing these networks.

Model your Supply Chain in a Graph Database | Part 2

May 17th, 2023
In Part 2 of our series, we explore the practical aspects of enabling SQL Graph for modeling supply chains, including creating tables for nodes and edges and inserting data into them. We also introduce the MATCH keyword for querying graph data, simplifying the retrieval of information based on relationships between entities.

Model your Supply Chain in a Graph Database | Part 3

May 17th, 2023
In Part 3 of our series, we delve into the rewards that graph databases bring to supply chain modeling. We explore the clarity achieved through the MATCH keyword, enabling precise communication between technical and business teams. Validation becomes seamless as stakeholders intuitively analyze the graph, uncovering missing relationships and enriching data.

Model your Supply Chain in a Graph Database | Part 4

May 17th, 2023
In Part 4 of our series, we explore the power of graph visualization in understanding and analyzing supply chain data. Using tools like PowerBI and the force-directed graph visual, we transform our SQL Graph data into an interactive and shareable format. The visualization allows us to easily comprehend the relationships within the supply chain, make discoveries, and make informed decisions. With SQL Graph, we combine the familiarity of Azure SQL with the advantages of graph modeling, providing clarity and precision when communicating with stakeholders.