Querying and Analyzing the Knowledge Graph
Knowledge graphs create value when teams can explore relationships, answer business questions, and optimize performance with confidence. This workshop helps participants build practical Cypher.
Leave with an analysis blueprint—query patterns, analytics approaches, and optimization practices.
Many organizations build knowledge graphs but struggle to unlock value because querying and analysis skills don’t scale across teams.
- Teams can’t ask the right questions: Without strong query foundations, users can’t explore relationships or validate assumptions effectively.
- Queries don’t perform at scale: Patterns that work in small graphs slow down in production without optimization.
Insights aren’t operationalized: Visualization and analytics are used inconsistently, limiting adoption and decision support.
Without strong querying and analysis practices, the graph becomes a static asset
We guide your team through a practical approach to query, analyze, and optimize enterprise knowledge graphs using Cypher.
- Cypher Foundations for Enterprise Questions: Build a strong base in syntax and query structure aligned to common.
- Advanced Graph Pattern Matching: Learn patterns for multi-hop relationships, constraints, and complex traversals that reflect real.
- Aggregation and Graph Analytics: Use Cypher to summarize, group, and analyze network behavior for insight.
- Visualization and Exploratory Analysis Practices: Establish best practices for exploring data visually to validate models and surface.
- Query Optimization for Performance: Apply performance practices so queries remain reliable and fast as graph size.
- Building a Foundation in Cypher Query Syntax
- Mastering Advanced Graph Pattern Matching
- Using Cypher for Aggregation and Graph Analytics
- Best Practices for Visualization and Exploratory Analysis
- Optimizing Queries for Performance
- Build practical Cypher skills to query relationships and answer core enterprise questions.
- Apply advanced pattern matching to explore complex dependencies and networks.
- Use aggregation and analytics to derive insights from graph structure and behavior.
- Adopt visualization practices to support exploration, validation, and stakeholder understanding.
- Leave with query optimization approaches to improve performance at enterprise scale.
Who Should Attend:
Solution Essentials
Facilitated working session
4 hours
Intermediate to Advanced
Slides, workshop templates, key worksheets, checklists, and collaboration tools.