Some Relational Theory

Learn about the relationship between relational database management systems and consistency.

We'll cover the following

Consistency: ACID
Data modeling

Relational database management systems can provide the following to our application:

A service to access our data and run transactions
A common API to guarantee consistency between several application bases
A transport mechanism to exchange data with the database service

Consistency: ACID

When our application grows, it’s going to be composed of several parts: the administration panel, the customer back-office application, the public front of the application, the accounting reports, financial reporting, and maybe some more parts such as salespeople back office and the like.

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Part I: Preface

Introduction to PostgreSQL

Part II: Introduction to Structured Query Language

Part III: Writing SQL Queries

Business Logic

A Small Application

The SQL REPL: An Interactive Setup

Indexing in PostgreSQL

Part IV: SQL Toolbox

SQL Tools

Managing Output in SQL

Understanding Nulls

Window Functions

Relations and Joins

Part V: Data Types

Serialization and Deserialization

PostgreSQL Data Types 101

Denormalized Data Types

Part VI: Data Modeling

Object Relational Mapping and Tooling for Database Modeling

Normalization

Practical Use Case: Geonames

Modelization Anti-Patterns

Denormalization

Not Only SQL

Part VII: Data Manipulation and Concurrency Control

Another Small Application

Isolation and Locking

Computing and Caching in SQL

Triggers

Listen and Notify

Batch Update, MoMA Collection

Part VIII: PostgreSQL Extensions

What’s a PostgreSQL Extension?

Auditing Changes with hstore

Million Song Dataset

Using Trigrams for Typos

Denormalizing Tags with intarray

The Most Popular Pub Names

Geolocation with PostgreSQL

Counting Distinct Users with HyperLogLog

Appendix

Some Relational Theory

Consistency: ACID