Jerry Nixon (SQL)

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.