Learning PostgreSQL 10 - Second Edition: A beginner's guide to building high-performance PostgreSQL database solutions

Leverage the power of PostgreSQL 10 to build powerful database and data warehousing applications.

Key Features:

• Be introduced to the concept of relational databases and PostgreSQL, one of the fastest growing open source databases in the world
• Learn client-side and server-side programming in PostgreSQL, and how to administer PostgreSQL databases
• Discover tips on implementing efficient database solutions with PostgreSQL 10

Book Description:

PostgreSQL is one of the most popular open source databases in the world, supporting the most advanced features included in SQL standards. This book will familiarize you with the latest features released in PostgreSQL 10.

We'll start with a thorough introduction to PostgreSQL and the new features introduced in PostgreSQL 10. We'll cover the Data Definition Language (DDL) with an emphasis on PostgreSQL, and the common DDL commands supported by ANSI SQL. You'll learn to create tables, define integrity constraints, build indexes, and set up views and other schema objects. Moving on, we'll cover the concepts of Data Manipulation Language (DML) and PostgreSQL server-side programming capabilities using PL/pgSQL. We'll also explore the NoSQL capabilities of PostgreSQL and connect to your PostgreSQL database to manipulate data objects.

By the end of this book, you'll have a thorough understanding of the basics of PostgreSQL 10 and will have the necessary skills to build efficient database solutions.

What You Will Learn:

• Understand the fundamentals of relational databases, relational algebra, and data modeling
• Install a PostgreSQL cluster, create a database, and implement your data model
• Create tables and views, define indexes, and implement triggers, stored procedures, and other schema objects
• Use the Structured Query Language (SQL) to manipulate data in the database
• Implement business logic on the server side with triggers and stored procedures using PL/pgSQL
• Make use of advanced data types supported by PostgreSQL 10: arrays, hstore, JSONB, and others
• Develop OLAP database solutions using the most recent features of PostgreSQL 10
• Connect your Python applications to a PostgreSQL database and work with data efficiently
• Test your database code, find bottlenecks, improve performance, and enhance the reliability of database applications

Who this book is for:

If you're interested in learning more about PostgreSQL, one of the most popular relational databases in the world, then this book is for you. Those looking to build solid database or data warehousing applications with PostgreSQL 10 will also find this book a useful resource. No prior knowledge of database programming or administration is required to get started with this book.

Author: Salahaldin Juba, Andrey Volkov
Publisher: Packt Publishing
Published: 12/01/2017
Pages: 488
Binding Type: Paperback
Weight: 1.83lbs
Size: 9.25h x 7.50w x 0.98d
ISBN: 9781788392013

About the Author
Juba, Salahaldin: - Salahaldin Juba has over than a decade of experience in the industry and academia, with a focus on database development for large-scale and enterprise applications. He holds a master's degree of science in environmental management with a distinction, and a bachelor's degree of engineering in computer systems. He is also a Microsoft Certified Solution Developer (MCSD). He has worked mainly with SQL server, PostgreSQL, and Greenplum databases. As a software engineer, he works mainly with defining ETL processes with external parties, promoting SQL best practices, designing OLTP and OLAP applications, and providing training and consultation services.Volkov, Andrey: - Andrey Volkov studied information systems in banking, and started his career as a financial analyst at a commercial bank. He joined a data warehouse team, and after some time, he lead the team by taking the position of the data warehouse architect. There he worked mainly with Oracle database stack and used it to develop logical and physical models of financial and accounting data, implement them in the database, develop ETL processes, and perform analytical tasks. Now Andrey works as a senior database developer at a telecommunication provider. There, he works mainly with PostgreSQL databases, being responsible for data modeling, developing a data warehouse, reporting, and billing systems.

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