• Introduction to the Cypher Query Language
• Essential Query Patterns
• Functions and Parameters

Introduction to Graph Data Modeling

• Understanding the Basics of Data Modeling
• Role of Data Models in Adapting to Changing Requirements
• Overview of Graph Data Modeling in Neo4j
• Collaboration between Stakeholders and
• Developers Arrangement of Data into Nodes and
• Relationships Significance of Traversals in Data Retrieval

Seven-Step Process for Graph Data Model Design

• Understanding the Domain, Stakeholders, and Use Cases
• Identifying and Refining Nodes
• Determining Node Properties
• Adding Relationships with Proper Naming
• Validation and Testing for Performance and Scalability
• Realistic Assessment with Large Datasets
• Case Study: Designing a Graph Data Model for a Bill of Materials Application

Key Aspects of Initial Design

• Handling Complex Nodes and Enhancing Traversal Efficiency
• Unique Identifiability and Naming Conventions
• Types vs. Properties Decision Making
• Avoiding Symmetrical Relationships
• Enhancing Data Semantics with Multiple Relationships
• Choosing Differentiation Methods Based on Query Requirements

Utilizing Common and Useful Data Structures

• Understanding Intermediate Nodes and Linked Lists
• Practical Examples of Intermediate Nodes
• Concept of Timeline Trees in Graph Structures
• Combining Multiple Graph Structures for Complex Models

Optimizing Query Performance through Refactoring

• Theory and Practical Applications of Refactoring
• Case Study: Designing and Refining a Data Model for an Airline Flight System
• Enhancements for Performance and Handling Complex Queries

Ensuring Data Integrity and Efficient Import

• Defining Constraints: Uniqueness, Existence, and Node Keys
• Managing Indexes and Cleaning Data 
• Overview of Importing Data into Neo4j
• Import Options: Language Drivers, neo4j-admin, ETL Tool, Data Importer Tool
• Loading CSV Data and Using APOC for Bulk Loading

Optimizing Cypher Queries for Performance

• Preparing for Query Tuning: Hardware, Data Model, Query Execution
• Understanding How Queries Work in Neo4j
• Controlling Row Cardinality for Efficient Queries
• Neo4j Behind the Scenes: Structure and Operation
• Optimizing Property Access in Cypher Queries
• Monitoring Running Queries: Techniques and Tools

• Integrating Neo4j with Application Frameworks
• Designing REST APIs and integrating with front-end frameworks
• Handling security, scalability, and deployment considerations
• Case Study/Demonstration: Building a complete application that leverages Neo4j for data management and query processing