Leverage the power of PostgreSQL 11 to build powerful database and data warehousing applications
Key Features
Monitor, secure, and fine-tune your PostgreSQL 11 database
Learn client-side and server-side programming using SQL and PL/pgSQL
Discover tips on implementing efficient database solutions
Book DescriptionPostgreSQL 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
Who this book is forThis book is for you if you're interested in learning about PostgreSQL from scratch. Those looking to build solid database or data warehousing applications or wanting to get up to speed with the latest features of PostgreSQL 11 will also find this book useful. No prior knowledge of database programming or administration is required to get started.
Auflage
Sprache
Verlagsort
Editions-Typ
Maße
Höhe: 235 mm
Breite: 191 mm
Dicke: 30 mm
Gewicht
ISBN-13
978-1-78953-546-4 (9781789535464)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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. Andrey Volkov studied information systems in banking, and started his career as a financial analyst in 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 in a telecommunication provider. Here, he works mainly with PostgreSQL databases, being responsible for data modeling, developing a data warehouse, reporting and billing systems.
Table of Contents
Relational Databases
PostgreSQL in Action
PostgreSQL Basic Building Blocks
PostgreSQL Advanced Building Blocks
SQL Language
Advanced Query Writing
Server-Side Programming with PL/pgSQL
OLAP and Data Warehousing
Beyond Conventional Data Types
Transactions and Concurrency Control
PostgreSQL Security
The PostgreSQL Catalog
Optimizing Database Performance
Testing
Using PostgreSQL in Python Applications
Scalability
What's Next?
