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Learning PostgreSQL 11

Learning PostgreSQL 11

By : Christopher Travers, Volkov
2.7 (6)
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Learning PostgreSQL 11

Learning PostgreSQL 11

2.7 (6)
By: Christopher Travers, 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)
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Summary

In this chapter, PostgreSQL security is tackled from the authorization, authentication, and data encryption aspects; however, you should also protect the code against SQL injection and other known security issues, such as function cost, and the security barrier options. PostgreSQL provides several authentication methods, such as password and trust. Also, it provides security levels on all database objects, including the database itself, schemas, tables, views, function, columns, and rows. Finally, you can also store sensitive data in the database in an encrypted format using the pgcrypto extension.

The next chapter will focus on the PostgreSQL system catalog and introduce several recipes to maintain the database. The recipes will be used to extract potential problems in the database, such as missing indexes, and introduce the solutions to tackle these problems.

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