Supply Chain and Graph Databases Series Summary

Part 1: Understanding Supply Chains

In this first part, we explored the concept of supply chains and how they are essential to businesses' success. We discussed the complexities of supply chain management and how graph databases can help streamline and optimize these processes.

Part 2: Enabling SQL Graph

In part two, we delved into the process of creating tables in Azure SQL to store nodes and edges for our graph database. We also learned about special columns generated behind the scenes, such as $node_id for nodes and $from_id and $to_id for edges, which play a crucial role in establishing relationships between entities.

Part 3: Reaping Graph Rewards

Part three explores how graph databases bring in new benefits for businesses, including improved speed and accuracy, better data visualization, and more insightful business intelligence. We also look at some real-life applications of graph databases in supply chain management.

Part 4: Visualizing a Graph

In the final part of our series, we discuss how data visualization is essential for businesses to gain new insights and discover hidden patterns in data. We explore various visualization tools that can be used with graph databases, such as Tableau, Neo4j, and Cytoscape, and provide an example of a graph visualization in the context of supply chain management.