This course introduces the concept of knowledge graphs and explores why graph-based data models are increasingly important in modern data management. It is designed for learners who are new to the topic and want to understand how knowledge graphs differ from traditional data storage approaches.

We begin by examining why storing data in graphs offers unique advantages, especially when dealing with complex, interconnected information. You'll learn how different data types—including relational data—can be represented in graph form, and how this enables more flexible and meaningful data integration.

The course then explores how data graphs evolve into knowledge graphs, emphasizing the role of semantics and context in transforming raw data into actionable knowledge. We also discuss how knowledge graphs fit into existing IT infrastructures and how they support data-centric thinking within organizations.

Finally, we challenge the common misconception that a knowledge graph is merely software, highlighting instead its role as a strategic, evolving asset built on open standards and designed for long-term value.