Supply Chains and Graph Databases series

Part 1: Introduction

In this four-part series, we introduce the concept of graph databases and their applications in modeling supply chains. We explain the advantages of using graph databases over traditional databases and explore the basics of graph theory.

Part 2: Modeling Supply Chains in a Graph Database

In Part 2, we delve deeper into the process of modeling supply chains in a graph database. We explain the steps involved in identifying nodes and relationships, and demonstrate how to represent them in a graph database.

Part 3: Querying Supply Chain Data in a Graph Database

Part 3 explores the benefits of querying supply chain data in a graph database. We discuss the advantages of using MATCH’s declarative join syntax over standard join queries, and provide an example of a query involving sourcing products for stores.

Part 4: Visualizing Supply Chain Data in a Graph Database

In the final part of the series, we highlight the power of graph visualization in understanding and communicating complex supply chain relationships. We demonstrate how to visualize your supply chain model using tools like Power BI.