Developing Real-World Apps Using Neo4j
Empowering Developers with Cutting-Edge Graph Database Skills
May 26 @ 9:00 am – May 29 @ 1:00 pm UTC+5:30
About the event
Dive into the future of data with Developing Real-World Apps Using Neo4j — a practical, hands-on training designed to help developers, data engineers, and tech professionals unlock the full potential of graph databases. This course provides a deep dive into Neo4j, covering everything from core concepts and graph data modeling to real-world application development and Cypher query optimization.
By the end of this session, you’ll be equipped with the skills to design, build, and scale graph-powered applications that solve complex, relationship-driven problems with ease.
Who Should Attend
This course is perfect for:
- Software Developers building intelligent, connected applications
- Data Engineers seeking to harness graph technology for advanced data processing
- Data Professionals eager to transition into the world of graph databases
Whether you’re developing enterprise apps or exploring next-gen data models, this training will elevate your expertise.
Prerequisites
To make the most of this experience, participants should:
- Have a basic understanding of databases and data modeling concepts
- Be familiar with at least one programming language (Java, Python, JavaScript, etc.)
- Bring a curious, problem-solving mindset and a passion for innovation
Don’t miss out on this opportunity to master Neo4j and take your skills to the next level. Seats are limited register now and secure your spot today!
- Overview of Neo4j Ecosystem
- Use cases and benefits of graph databases
- Core Concepts
- Nodes, Relationships, and Properties
- ACID properties and data storage architecture
- 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