Learning PostgreSQL 11: A beginner’s guide to building high-performance PostgreSQL database solutions, 3rd Edition

Learning PostgreSQL 11: A beginner’s guide to building high-performance PostgreSQL database solutions, 3rd EditionReviews
Author: Salahaldin Juba
Pub Date: 2019
ISBN: 978-1789535464
Pages: 556
Language: English
Format: EPUB
Size: 10 Mb

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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.
What you will learn

  • Understand the basics of relational databases, relational algebra, and data modeling
  • Install a PostgreSQL server, create a database, and implement your data model
  • Create tables and views, define indexes and stored procedures, and implement triggers
  • Make use of advanced data types such as Arrays, hstore, and JSONB
  • Connect your Python applications to PostgreSQL and work with data efficiently
  • Identify bottlenecks to enhance reliability and performance of database applications