Showing results for T-SQL - Azure SQL Devs’ Corner

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...

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 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 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.

The Azure SQL Database has two main ways to track changes with data (rows/DML) as well as table changes. One of those methods is Change Tracking with the other being Change Data Capture. Today’s post will be going into depth on Change Tracking. Change Tracking and Change Data Capture So, what’s the difference between the two? Change Data Capture ...

I've just finished watching the video from the @GuyInACube about Common Table Expressions and I noticed that in several comments there was the request to explain what is the difference between Common Table Expressions, Views and Temp Tables. This is quite a common question, and it is time to give it a simple, concise, and clear answer, once a...

In part 3 of our Azure SQL database change management (CICD) series we cover testing your code using tSQLt and GitHub Actions. Prerequisites Check Refer to part 1 and part 2 for the prerequisites. Fork the GitHub Project We will be using tSQLt in this post, so I have created a GitHub project made up of several SQL Da...

How to solve the common problem of "insert-if-not-exists" in a very elegant, clever and scalable way.

Graph theory and associated techniques are extremely powerful. Azure SQL allows native representation of graphs as node and edge tables, and provides breadth-first-search traversal for native path finding. This blog post demonstrates the ease of use, and great power of, these features by using them to solve the classic river crossing riddle!

Azure SQL developers have access to a full-fidelity, highly accurate, and easy-to-use client-side parser for T-SQL statements: the TransactSql.ScriptDom parser. This blog post walks through basic usage, and links to a number of resources for digging deeper.