Graph DB
Explore Graph Database concepts, nodes, edges, relationships, graph queries, Neo4j, and connected data analysis through practical projects.
Course Description
The Graph Database Training Program introduces learners to graph-based data management and connected data analysis. Students will understand how graph databases represent information through nodes, edges, properties, and relationships.
The course covers graph database architecture, graph modeling, Cypher query language, Neo4j, relationship management, graph traversal, and connected data analysis. Learners will explore how graph databases are used in recommendation systems, fraud detection, social networks, and network analysis.
Practical assignments and projects will help students understand how to design, query, and manage graph-based data solutions.
Trainer
N
Navdeep Singh
Data Analytics and Enterprise Data Architecture
20 years experience
Experienced Data Analytics Trainer with expertise in transforming raw data into actionable business insights. Skilled in data visualization, statistical analysis, business intelligence, and reporting....
Technologies Covered
Graph Databases
Neo4j
Cypher Query Language
Nodes and Edges
Graph Data Modeling
Graph Traversal
Relationship Analysis
Connected Data Analytics
Projects
- Social Network Relationship Analysis
- Product Recommendation System
- Fraud Detection Using Graph Database
- Knowledge Graph Development
FAQ
A Graph Database is a database designed to store and analyze relationships between data entities using nodes, edges, and properties.
Graph databases are used in social networks, fraud detection, recommendation engines, knowledge graphs, and network analysis.
Basic programming and database knowledge are helpful. Beginners can start by learning graph concepts, Neo4j, and Cypher queries.