Book Image

Learning PostgreSQL 11 - Third Edition

By : Salahaldin Juba, Andrey Volkov
Book Image

Learning PostgreSQL 11 - Third Edition

By: Salahaldin Juba, Andrey Volkov

Overview of this book

PostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards. This book will familiarize you with the latest features in PostgreSQL 11, and get you up and running with building efficient PostgreSQL database solutions from scratch. Learning PostgreSQL, 11 begins by covering the concepts of relational databases and their core principles. You’ll explore the Data Definition Language (DDL) and commonly used DDL commands supported by ANSI SQL. You’ll also learn how to create tables, define integrity constraints, build indexes, and set up views and other schema objects. As you advance, you’ll come to understand Data Manipulation Language (DML) and server-side programming capabilities using PL/pgSQL, giving you a robust background to develop, tune, test, and troubleshoot your database application. The book will guide you in exploring NoSQL capabilities and connecting to your database to manipulate data objects. You’ll get to grips with using data warehousing in analytical solutions and reports, and scaling the database for high availability and performance. By the end of this book, you’ll have gained a thorough understanding of PostgreSQL 11 and developed the necessary skills to build efficient database solutions.
Table of Contents (18 chapters)

OLAP and Data Warehousing

A database usually performs the role of a storage component of a complex software solution. Depending on the type of the solution and what problem it aims to solve, the configuration of the database and the data structure can be different. It's common to configure a database and data structure in one of two ways: online transaction processing (OLTP) or online analytical processing (OLAP).

In this chapter, we will discuss some features of PostgreSQL that help implement a data warehouse solution based on a PostgreSQL database, and theoretical concepts related to that, namely:

  • OLTP and OLAP: their purpose and differences
  • Online analytical processing: What it is and why it's special
  • Partitioning: A way to physically organize and manage huge tables
  • Parallel query: A feature that increases the speed of query execution
  • Index-only scans: A way to...