Overview

Data is a fundamental pillar of modern software engineering. This section provides comprehensive coverage of data tools and databases.

What You’ll Learn

• Databases - Master relational and NoSQL databases
• Data Tools - Work with query languages, data processing frameworks, and ETL pipelines

Learning Path

Databases and Tools

Covers practical tools and technologies:

• Relational databases (PostgreSQL, MySQL)
• NoSQL databases (MongoDB, Redis, Cassandra)
• Query languages (SQL, GraphQL)
• Data processing frameworks (Apache Spark, Kafka)
• ETL tools and pipelines
• Data warehousing solutions

Each area follows the Diátaxis framework with tutorials, how-to guides, explanations, and reference materials to support different learning needs.