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Neo4j Graph Database Training

Live Online & Classroom Enterprise Training

A beginner-friendly course designed to help learners understand graph databases, Neo4j fundamentals, Cypher query language, and how to model, query, and analyze connected data effectively.

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What is Neo4j Graph Database Training about?

This course introduces the core concepts of graph databases and demonstrates how Neo4j enables efficient management of highly connected datasets. Learners will explore graph data modeling, Cypher query operations, indexing, relationships, and practical use cases across domains such as analytics, fraud detection, and recommendation systems. Through hands-on exercises, participants will gain the skills to design and query graph structures in real-world applications.

What are the objectives of Neo4j Graph Database Training ?

  • Understand graph database fundamentals and Neo4j architecture.
  • Learn Cypher query language for querying and updating graph data.
  • Build and optimize graph data models for real-world scenarios.
  • Perform graph analytics using built-in Neo4j algorithms.
  • Deploy and manage Neo4j in development environments.

Who is Neo4j Graph Database Training for?

  • Data Analysts and Data Engineers.
  • Database Administrators exploring non-relational databases.
  • Developers working with connected datasets.
  • BI and Analytics professionals.
  • Students and beginners wanting to learn graph technologies.

What are the prerequisites for Neo4j Graph Database Training?

Prerequisite:

  • Basic understanding of databases (SQL or NoSQL).
  • Fundamental knowledge of data structures.
  • Familiarity with any programming language (Python/Java helpful).
  • Basic understanding of JSON or structured data formats.
  • Curiosity to work with connected data models.

Learning Path:

  • Introduction to Graph Databases & Neo4j Ecosystem.
  • Cypher Basics: Querying Nodes and Relationships.
  • Graph Data Modeling and Schema Design.
  • Graph Algorithms & Analytics in Neo4j.
  • Building Applications with Neo4j (APIs/Integrations).

Related Courses:

  • Introduction to NoSQL Databases.
  • Graph Data Modeling Fundamentals.
  • Cypher Query Language Deep Dive.
  • Data Engineering with Python.

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

  • What is a Graph? Current Graph Processing Space
  • Graph Databases
  • Graph Processing Engines
  • Advantages of Graph Databases
  • Fallacy of RDBMS For connected Data
  • Fallacy of Common NoSQL Databases for Connected Data
  • Graph Database Natural Playground
  • Graph Database Use Cases and Recommendations- Social and ACLs
  • Why Neo4j? Graph Data Neo4j Vs RDBMS
  • Neo4j in NoSQL World
  • Data Modelling in Neo4j and Getting Neo4j
  • Hard disks
  • Store Files
  • Caches in Neo4j
  • Fault Tolerance
  • APIs
  • Sizing Indicators
  • Development Environment setup
  • Modelling in Graph Data structures
  • REST API
  • Embedded Mode
  • Server Mode and Interaction with Neo4j with Core API
  • Create Nodes and Relationships
  • Invoking Cypher from Java
  • Parameterize the Queries
  • Filtering
  • Regex search
  • Escaping characters
  • Comparisons
  • Sorting
  • Boolean operators
  • Working with Collections
  • SKIP and LIMIT
  • Aggregation of Results
  • REST API imports and Java Batch Insert
  • Modifying Existing Data
  • Deleting Data
  • Loops
  • Best Practices
  • Profiling Queries
  • Indexes and Constraints
  • Transactions in Neo4J
  • Unleashing the Power of Traversals and Indexing in Java
  • Traversals in Neo4J
  • DFS Vs BFS Traversals
  • Relationship Expanders
  • Unidirectional and Bi-directional Traversals
  • Managing Traversal Uniqueness in Neo4J
  • Embedded Mode
  • JVM Based Integrations
  • Server Mode and Embedded Vs Server Mode Considerations
  • Problem Statement
  • Let’s Brainstorm the solution
  • Solution components
  • Solution in Action and Conclusion

Who is the instructor for this training?

The trainer for this Neo4j Graph Database Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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