Announcing Data API builder General Availability On May 15th, Data API builder becomes Generally Available. Data API builder for Azure SQL Databases – Generally Available It’s been a long road, getting from there to here. Nearly three years ago, Data API builder began as just a dream. How can we reduce the friction for developers wanting to ...

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 good—...

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 return...

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 code ov...

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 ...

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.

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.

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 enrich...

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, mak...