16 Quick Starts for Using PGQL Property Graphs

This chapter contains quick start tutorials and other resources to help you get started on working with PGQL property graphs.

• Using Sample Graph Data
  The rpm installation of the graph server provides you with sample graph data which can be used for graph analysis.
• Quick Start: Working with PGQL Property Graphs
  This tutorial helps you get started on creating, querying and executing graph algorithms on PGQL property graphs.
• Quick Start: Create and Analyze PGQL Property Graphs Using SQL Tools and Graph Server (PGX)
  This quick start shows how to define a PGQL property graph over relational tables using SQL tools such as Oracle SQL Developer or SQLcl and then load the graph into the graph server (PGX) server for advanced graph analysis.
• Quick Start: Using Graph Machine Learning on PGQL Property Graphs
  This tutorial helps you get started on applying the DeepWalk machine learning algorithm on a PGQL property graph.
• Quick Start: Using the Python Client as a Module
  This section describes how to use the Python client as a module in Python applications.
• Oracle LiveLabs Workshops for Graphs
  You can also explore Oracle Property Graph features using the graph workshops in Oracle LiveLabs.