Explore the fundamentals of Dgraph, a horizontally scalable and distributed GraphQL database with a graph backend, in this comprehensive tutorial featuring special guest Xuanyi Chew. Discover the advantages of using a graph database and learn how to run Dgraph using Docker. Gain hands-on experience with Ratel, the Dgraph web interface, as you write your first records, add relationships, and create type definitions. Delve into the powerful features of Dgraph, including ACID transactions, consistent replication, and linearizable reads. Understand how Dgraph optimizes query performance and throughput for terabytes of structured data. Conclude with an introduction to Slash GraphQL, a managed service for Dgraph. Perfect for developers seeking to harness the power of graph databases for scalable and efficient data management.
Introduction to Dgraph - Graph Database Fundamentals and Practical Usage
Overview
Syllabus
- Holding screen
- Introductions
- Who is Xuanyi?
- Why use a graph database?
- Running Dgraph with Docker
- Ratel - the Dgraph web interface
- Writing our first records
- Adding relationships
- Adding type definitions
- Slash GraphQL managed service
Taught by
Rawkode Academy
