Learn Postgresql Build And Manage Highperformance Database Solutions Using Postgresql 12 And 13 1st Edition Luca Ferrari by Luca Ferrari, Enrico Pirozzi 9781838985288, 183898528X instant download after payment.

A comprehensive guide to building, managing, and securing scalable and reliable database and data warehousing applications using Postgres 12 and 13
 
Book Description
PostgreSQL is one of the fastest-growing open source object-relational database management systems (DBMS) in the world. As well as being easy to use, it's scalable and highly efficient. In this book, you'll explore PostgreSQL 12 and 13 and learn how to build database solutions using it. Complete with hands-on tutorials, this guide will teach you how to achieve the right database design required for a reliable environment.
 
You'll learn how to install and configure a PostgreSQL server and even manage users and connections. The book then progresses to key concepts of relational databases, before taking you through the Data Definition Language (DDL) and commonly used DDL commands. To build on your skills, you'll understand how to interact with the live cluster, create database objects, and use tools to connect to the live cluster. You'll then get to grips with creating tables, building indexes, and designing your database schema. Later, you'll explore the Data Manipulation Language (DML) and server-side programming capabilities of PostgreSQL using PL/pgSQL, before learning how to monitor, test, and troubleshoot your database application to ensure high-performance and reliability.
 
What you will learn
• Understand how users and connections are managed by running a PostgreSQL instance
• Interact with transaction boundaries using server-side programming
• Identify bottlenecks to maintain your database efficiently
• Create and manage extensions to add new functionalities to your cluster
• Choose the best index type for each situation
• Use online tools to set up a memory configuration that will suit most databases
• Explore how Postgres can be used in multi-instance environments to provide high-availability, redundancy, and scalability