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Overview

Data is a fundamental pillar of modern software engineering. This section covers database fundamentals and practical data access tools used in production applications.

What You'll Learn

  • Databases - SQL fundamentals, PostgreSQL, and Datomic
  • Data Tools - Database migration and data-access tools across languages (Liquibase, Flyway, Alembic, Goose, EF Core, Ecto, SQLx, and more)
  • Analytics - Data analytics fundamentals through annotated examples

Available Content

Databases

SQL - Master the standard language for relational databases

  • Query fundamentals (SELECT, WHERE, JOIN)
  • Data manipulation (INSERT, UPDATE, DELETE)
  • Schema design and table relationships
  • Indexing and query optimization
  • Transactions and constraints

PostgreSQL - Advanced open-source relational database

  • PostgreSQL-specific features and extensions
  • JSON and advanced data types
  • Window functions and CTEs
  • Performance tuning and optimization
  • Backup, recovery, and replication

Datomic - Immutable, time-aware database with Datalog queries

  • Immutable facts and point-in-time queries
  • Datalog query model
  • Separation of reads, writes, and storage

Data Tools

Data Tools - Schema migration and data-access libraries across languages

  • Migration tools: Liquibase, Flyway, Alembic, Goose, Migratus, DbUp
  • Data access & ORMs: Spring Data JPA, EF Core, Ecto, SQLx, Effect SQL
  • Version your schema and access data idiomatically per language

Analytics

Analytics - Data analytics fundamentals through annotated, runnable examples

Learning Approach

Each topic provides By Example tutorials with practical, runnable code:

  • Beginner - Core concepts and basic operations
  • Intermediate - Production patterns and optimization
  • Advanced - Complex queries and performance tuning

Start with SQL fundamentals, then explore database-specific features and ORM tools for your language stack.

Getting Started

  1. SQL Fundamentals - Start here to learn database querying
  2. PostgreSQL - Explore advanced features
  3. Pick a data tool: browse Data Tools for the migration or data-access library that fits your language stack

Last updated December 22, 2025

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