PostgreSQL High Performance Cookbook - Couverture souple

Chauhan, Chitij; Kumar, Dinesh

Couverture souple

ISBN 10 : 1785284339 ISBN 13 : 9781785284335

Editeur : Packt Publishing, 2017

Synopsis

Get to know effective ways to improve PostgreSQL's performance and master query optimization, and database monitoring.

About This Book

• Perform essential database tasks such as benchmarking the database and optimizing the server's memory usage
• Learn ways to improve query performance and optimize the PostgreSQL server
• Explore a wide range of high availability and replication mechanisms to build robust, highly available, scalable, and fault-tolerant PostgreSQL databases

Who This Book Is For

If you are a developer or administrator with limited PostgreSQL knowledge and want to develop your skills with this great open source database, then this book is ideal for you. Learning how to enhance the database performance is always an exciting topic to everyone, and this book will show you enough ways to enhance the database performance.

What You Will Learn

• Build replication strategies for homogeneous and heterogeneous databases
• Test and build a powerful machine with multiple bench marking techniques
• Get to know a few SQL injection techniques
• Find out how to manage the replication using multiple tools
• Benchmark the database server using multiple strategies
• Work with the query processing algorithms and their internal behaviors
• Build a proper plan to upgrade or migrate to PostgreSQL from other databases
• See the essential database load balancing techniques and the various partitioning approaches PostgreSQL provides
• Learn memory optimization techniques and database server configurations

In Detail

A propos du livre

Présentation de l'éditeur

Get to know effective ways to improve PostgreSQL's performance and master query optimization, and database monitoring.

About This Book

• Perform essential database tasks such as benchmarking the database and optimizing the server's memory usage
• Learn ways to improve query performance and optimize the PostgreSQL server
• Explore a wide range of high availability and replication mechanisms to build robust, highly available, scalable, and fault-tolerant PostgreSQL databases

Who This Book Is For

If you are a developer or administrator with limited PostgreSQL knowledge and want to develop your skills with this great open source database, then this book is ideal for you. Learning how to enhance the database performance is always an exciting topic to everyone, and this book will show you enough ways to enhance the database performance.

What You Will Learn

• Build replication strategies for homogeneous and heterogeneous databases
• Test and build a powerful machine with multiple bench marking techniques
• Get to know a few SQL injection techniques
• Find out how to manage the replication using multiple tools
• Benchmark the database server using multiple strategies
• Work with the query processing algorithms and their internal behaviors
• Build a proper plan to upgrade or migrate to PostgreSQL from other databases
• See the essential database load balancing techniques and the various partitioning approaches PostgreSQL provides
• Learn memory optimization techniques and database server configurations

In Detail

Biographie de l'auteur

Chitij Chauhan

Chitij Chauhan currently works as a senior database administrator at an IT-based MNC in Chandigarh. He has over 10 years of work experience in the field of database and system administration, with specialization in MySQL clustering, PostgreSQL, Greenplum, Informix DB2, SQL Server 2008, Sybase, and Oracle. He is a leading expert in the area of database security, with expertise in database security products such as IBM InfoSphere Guardium, Oracle Database Vault, and Imperva.

Détails de l'édition

• Éditeur: Packt Publishing
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 1785284339
• ISBN 13: 9781785284335
• Reliure: Broché
• Nombre de pages: 360
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible