Graph OLAP Tutorials

Index

Graph OLAP Tutorials

Learn to build powerful graph analytics with hands-on tutorials

Welcome to the Graph OLAP tutorial series. These tutorials are organized into progressive learning paths that take you from your first graph query to advanced production analytics. Start with the fundamentals and progress through each section to build comprehensive graph analytics skills.

Learning Path

Follow these sections in order for the best learning experience, or jump to a specific topic if you already have the prerequisites.

Start Here

Platform overview and quick start guide to get up and running in minutes

2 tutorials · 10 min total

SDK Fundamentals

Master the core SDK concepts: mappings, instances, and schemas

9 tutorials · ~3 hours total

Cypher Query Language

Learn to query graphs with Cypher from basic patterns to advanced optimization

8 tutorials · ~3 hours total

Graph Algorithms

Analyze networks with centrality, community detection, pathfinding, and more

9 tutorials · ~5.5 hours total

Administration & Operations

Platform administration, user management, monitoring, and configuration

6 tutorials · ~3 hours total

Advanced Topics

Expert techniques: lifecycle management, exports, versioning, and client configuration

6 tutorials · ~2.5 hours total

Data Engineering

Export, visualize, and build graph schemas from SQL

3 tutorials · ~1.5 hours total

Prerequisites

Before starting these tutorials, ensure you have:

• Python 3.9+ installed
• Graph OLAP SDK installed (pip install graph-olap)
• Access credentials for the Graph OLAP control plane
• JupyterLab or VS Code with Jupyter extension

See the Getting Started tutorial for setup instructions.

Additional Resources

• SDK Reference: Complete API documentation in the reference notebooks
• Example Notebooks: Real-world use cases and patterns
• Support: Contact your Graph OLAP administrator for access issues