Developing Modern Database Applications with PostgreSQL
Use the highly available and object-relational PostgreSQL to build scalable and reliable apps
Published on 23. September 2024
440 pages
978-1-83864-106-1 (ISBN)
Description
Get up to speed with core PostgreSQL tasks such as database administration, application development, database performance monitoring, and database testing
Key Features
Build real-world enterprise database management systems using Postgres 12 features
Explore the development, administrative and security aspects of PostgreSQL 12
Implement best practices from industry experts to build powerful database applications
Book DescriptionPostgreSQL is an open-source object-relational database management system (DBMS) that provides enterprise-level services, including high performance and scalability. This book is a collection of unique projects providing you with a wealth of information relating to administering, monitoring, and testing PostgreSQL. The focus of each project is on both the development and the administrative aspects of PostgreSQL. Starting by exploring development aspects such as database design and its implementation, you'll then cover PostgreSQL administration by understanding PostgreSQL architecture, PostgreSQL performance, and high-availability clusters. Various PostgreSQL projects are explained through current technologies such as DevOps and cloud platforms using programming languages like Python and Node.js. Later, you'll get to grips with the well-known database API tool, PostgREST, before learning how to use popular PostgreSQL database testing frameworks. The book is also packed with essential tips and tricks and common patterns for working seamlessly in a production environment. All the chapters will be explained with the help of a real-world case study on a small banking application for managing ATM locations in a city. By the end of this DBMS book, you'll be proficient in building reliable database solutions as per your organization's needs.What you will learn
Set up high availability PostgreSQL database clusters in the same containment, a cross-containment, and on the cloud
Monitor the performance of a PostgreSQL database
Create automated unit tests and implement test-driven development for a PostgreSQL database
Develop PostgreSQL apps on cloud platforms using DevOps with Python and Node.js
Write robust APIs for PostgreSQL databases using Python programming, Node.js, and PostgREST
Create a geospatial database using PostGIS and PostgreSQL
Implement automatic configuration by Ansible and Terraform for Postgres
Who this book is forThis PostgreSQL book is for database developers, database administrators, data architects, or anyone who wants to build end-to-end database projects using Postgres. This book will also appeal to software engineers, IT technicians, computer science researchers, and university students who are interested in database development and administration. Some familiarity with PostgreSQL and Linux is required to grasp the concepts covered in the book effectively.
Key Features
Build real-world enterprise database management systems using Postgres 12 features
Explore the development, administrative and security aspects of PostgreSQL 12
Implement best practices from industry experts to build powerful database applications
Book DescriptionPostgreSQL is an open-source object-relational database management system (DBMS) that provides enterprise-level services, including high performance and scalability. This book is a collection of unique projects providing you with a wealth of information relating to administering, monitoring, and testing PostgreSQL. The focus of each project is on both the development and the administrative aspects of PostgreSQL. Starting by exploring development aspects such as database design and its implementation, you'll then cover PostgreSQL administration by understanding PostgreSQL architecture, PostgreSQL performance, and high-availability clusters. Various PostgreSQL projects are explained through current technologies such as DevOps and cloud platforms using programming languages like Python and Node.js. Later, you'll get to grips with the well-known database API tool, PostgREST, before learning how to use popular PostgreSQL database testing frameworks. The book is also packed with essential tips and tricks and common patterns for working seamlessly in a production environment. All the chapters will be explained with the help of a real-world case study on a small banking application for managing ATM locations in a city. By the end of this DBMS book, you'll be proficient in building reliable database solutions as per your organization's needs.What you will learn
Set up high availability PostgreSQL database clusters in the same containment, a cross-containment, and on the cloud
Monitor the performance of a PostgreSQL database
Create automated unit tests and implement test-driven development for a PostgreSQL database
Develop PostgreSQL apps on cloud platforms using DevOps with Python and Node.js
Write robust APIs for PostgreSQL databases using Python programming, Node.js, and PostgREST
Create a geospatial database using PostGIS and PostgreSQL
Implement automatic configuration by Ansible and Terraform for Postgres
Who this book is forThis PostgreSQL book is for database developers, database administrators, data architects, or anyone who wants to build end-to-end database projects using Postgres. This book will also appeal to software engineers, IT technicians, computer science researchers, and university students who are interested in database development and administration. Some familiarity with PostgreSQL and Linux is required to grasp the concepts covered in the book effectively.
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More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Digital original
Product notice
Reflowable
File size
33,12 MB
ISBN-13
978-1-83864-106-1 (9781838641061)
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 Classification
Other editions
Additional editions
Quan Ha Le | Marcelo Diaz
Developing Modern Database Applications with PostgreSQL
Use the highly available and object-relational PostgreSQL to build scalable and reliable apps
Book
08/2021
Packt Publishing
€57.20
Shipment within 3-4 weeks
Persons
Le Quan Ha :
Dr. Quan Ha Le graduated with a Ph.D. in computer science from the Queen's University of Belfast, United Kingdom, in 2005. Since his Ph.D. graduation, he has been working as a PostgreSQL database administrator all over Alberta and Ontario, Canada, until now. From 2008 to 2019, Dr. Le Quan Ha administered, designed, and developed 24 small, medium, large, and huge PostgreSQL databases in Canada. Since 2016, after writing a good publication on PostgreSQL database clusters on clouds, he has been a member of the United States PostgreSQL Association (PgUS) in New York City. Dr. Le Quan Ha has also been a board member of the PgUS Diversity committee since 2018.Diaz Marcelo :
Marcelo Diaz is a software engineer with more than 15 years of experience, with a special focus on PostgreSQL. He is passionate about open source software and has promoted its application in critical and high-demand environments where he has worked as a software developer and consultant for both private and public companies. He currently works very happily at Cybertec and as a technical reviewer for Packt Publishing. He enjoys spending his leisure time with his daughter, Malvina, and his wife, Romina. He also likes playing football.
Dr. Quan Ha Le graduated with a Ph.D. in computer science from the Queen's University of Belfast, United Kingdom, in 2005. Since his Ph.D. graduation, he has been working as a PostgreSQL database administrator all over Alberta and Ontario, Canada, until now. From 2008 to 2019, Dr. Le Quan Ha administered, designed, and developed 24 small, medium, large, and huge PostgreSQL databases in Canada. Since 2016, after writing a good publication on PostgreSQL database clusters on clouds, he has been a member of the United States PostgreSQL Association (PgUS) in New York City. Dr. Le Quan Ha has also been a board member of the PgUS Diversity committee since 2018.Diaz Marcelo :
Marcelo Diaz is a software engineer with more than 15 years of experience, with a special focus on PostgreSQL. He is passionate about open source software and has promoted its application in critical and high-demand environments where he has worked as a software developer and consultant for both private and public companies. He currently works very happily at Cybertec and as a technical reviewer for Packt Publishing. He enjoys spending his leisure time with his daughter, Malvina, and his wife, Romina. He also likes playing football.
Content
Table of Contents
Introduction to PostgreSQL Development and Administration
Setting up a PostgreSQL RDS for ATM Machines
Using PostgreSQL and Node.js for Banking Transactions
Managing Bank ATM locations using PostgreSQL and Django
Creating a Geospatial Database using PostGIS and PostgreSQL
Managing Banking Transactions using PostgREST
PostgreSQL with DevOps for Continuous Delivery
PostgreSQL High Availability Clusters
High-Performance Team Dashboards Using PostgreSQL and New Relic
Testing the Performance of Our Banking App with PGBench and JMeter
Test Frameworks for PostgreSQL
Appendix - PostgreSQL among the Other Current Clouds
Introduction to PostgreSQL Development and Administration
Setting up a PostgreSQL RDS for ATM Machines
Using PostgreSQL and Node.js for Banking Transactions
Managing Bank ATM locations using PostgreSQL and Django
Creating a Geospatial Database using PostGIS and PostgreSQL
Managing Banking Transactions using PostgREST
PostgreSQL with DevOps for Continuous Delivery
PostgreSQL High Availability Clusters
High-Performance Team Dashboards Using PostgreSQL and New Relic
Testing the Performance of Our Banking App with PGBench and JMeter
Test Frameworks for PostgreSQL
Appendix - PostgreSQL among the Other Current Clouds
