Graph Databases - A Little Connected Tour

Übersicht

Explore graph databases, their advantages in handling connected data, and learn about Neo4J and its Cypher query language for efficient data modeling and querying in Python.

Lehrplan

• Introduction to Graph Databases
Overview of Graph Databases
Benefits of Using Graph Databases
• Understanding Connected Data
Definition of Connected Data
Real-world Applications of Connected Data
• Core Concepts of Graph Databases
Nodes, Relationships, and Properties
Graph Database vs. Relational Database
• Introduction to Neo4j
Neo4j Architecture
Installation and Setup
• Introduction to Cypher Query Language
Basic Syntax and Commands
Creating Nodes and Relationships
• Data Modeling with Neo4j
Designing Graph Database Schemas
Indexes and Constraints
• Querying Graphs with Cypher
Basic Queries: MATCH, WHERE, RETURN
Advanced Queries: Aggregations, Pattern Matching
• Python Integration
Connecting Neo4j with Python
Using the Neo4j Python Driver
• Advanced Topics in Neo4j and Cypher
Graph Algorithms in Neo4j
Performance Tuning and Optimization
• Real-world Use Cases
Case Studies: Social Networks, Fraud Detection, and Recommendations
Discussion of Industry Applications
• Course Project
Designing a Small Graph Database
Implementing Queries and Analysis with Neo4j and Python
• Conclusion and Further Learning Resources
Summary of Key Learning Points
Resources for Continued Learning and Exploration

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Fachgebiete

Conference Talks