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PostgreSQL for Data Architects

You're reading from PostgreSQL for Data Architects Discover how to design, develop, and maintain your database application effectively with PostgreSQL

Product type Paperback

Published in Mar 2015

Publisher

ISBN-13 9781783288601

Length 272 pages

Edition 1st Edition

Tools

PostgreSQL

Concepts

Database Administration

Author (1):

Jayadevan M

View More author details

Table of Contents (14) Chapters

Preface

1. Installing PostgreSQL FREE CHAPTER

2. Server Architecture

3. PostgreSQL – Object Hierarchy and Roles

4. Working with Transactions

5. Data Modeling with SQL Power Architect

6. Client Tools

7. SQL Tuning

8. Server Tuning

9. Tools to Move Data in and out of PostgreSQL

10. Scaling, Replication, and Backup and Recovery

11. PostgreSQL – Troubleshooting

12. PostgreSQL – Extras

Index

Chapter 1. Installing PostgreSQL

This chapter gives you an overview of the process to install PostgreSQL from the source. The system used for installation and providing examples in the following sections is a 64-bit CentOS (6.4) machine. Other Unix/Linux systems typically have similar commands. For those using Windows systems, there is a set of utilities available at http://sourceforge.net/projects/unxutils/, which makes it possible to execute most of the Unix commands (find, grep, cut, and so on) in the Windows environment. The steps to be followed to install PostgreSQL on Windows are very different compared to those for Unix/Linux systems and are not covered in this chapter.

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PostgreSQL for Data Architects

Published in: Mar 2015

Publisher:

ISBN-13: 9781783288601

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Authors (1)

Jayadevan M

Jayadevan M

Jayadevan Maymala is a database developer, designer, and architect. He started working with the Oracle database in 1999. Over the years, he has worked with DB2, Sybase, and SQL Server. Of late, he has been working with open source technologies. His database of choice is PostgreSQL. In his career, he has worked in different domains spanning supply chain management, finance, and travel. He has spent an equal amount of time working with databases supporting critical transaction processing systems as well as data warehouses supporting analytical systems. When he is not working on open source technologies, he spends time reading and updating himself on economic and political issues.

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