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 enriching data.
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.
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!
Practical Azure SQL Database for Modern Developers: a book to learn how to take advantage of the all the breakthrough technologies available in Azure SQL like columnstore, in-memory lock-free tables, row-level-security, graph and geospatial support to create modern, scalable and secure applications.
There are many database technologies available on Azure that you can choose from. Why would you use Azure SQL? Let me show you why, using just 10 simple points: from JSON support to ColumnStore, through Geospatial and Temporal queries, Non-Blocking transaction, Encryption and Row-Level Security and the amazing Intelligent Query Optimizer.
