Today's applications often use complex relationships between different data elements. While relational databases are suitable for many types of structures, they do not often perform well with graph structures.
This session will introduce the graph structures, showing how to build a set of nodes and edges, populate them with data, and easily build simple queries to solve complex problems. We will examine the graph capabilities of SQL Server as well as Neo4J and RedisGraph.
You will learn:
- Understand a graph structure composed nodes and edges
- Compare the implementation between SQL Server and other platforms
- Examples of how data population and querying differ across platforms