Graph Databases - Talking about your Data Relationships with Python
EuroPython Conference via YouTube
Overview
Explore the world of graph databases and their application in representing complex data relationships in this 47-minute EuroPython Conference talk. Discover how graph structures can effectively model and store interconnected data, such as social media connections. Learn about the challenges of representing relationships in relational databases and how graph databases offer a more intuitive solution. Gain insights into popular graph database tools like Neo4J, OrientDB, and TitanDB, and their integration with Python. Compare graph databases with relational databases, and explore real-world applications of this technology. Delve into creating and querying relationships using graph databases, and understand their advantages in handling interconnected data structures.
Syllabus
Introduction
Who is Nicolle
What is Red Coats
Agenda
Relationships
Graphs
Graph Databases
DB Engines
Creating Relationships
Querying Data
Python Integration
Other Graph Databases
Relational Databases
Applications of Graph Databases
Questions
Taught by
EuroPython Conference