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Learning PostgreSQL 10

You're reading from   Learning PostgreSQL 10 A beginner's guide to building high-performance PostgreSQL database solutions

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Product type Paperback
Published in Dec 2017
Publisher
ISBN-13 9781788392013
Length 488 pages
Edition 2nd Edition
Languages
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Authors (2):
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Andrey Volkov Andrey Volkov
Author Profile Icon Andrey Volkov
Andrey Volkov
Salahaldin Juba Salahaldin Juba
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Salahaldin Juba
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Toc

Table of Contents (17) Chapters Close

Preface 1. Relational Databases FREE CHAPTER 2. PostgreSQL in Action 3. PostgreSQL Basic Building Blocks 4. PostgreSQL Advanced Building Blocks 5. SQL Language 6. Advanced Query Writing 7. Server-Side Programming with PL/pgSQL 8. OLAP and Data Warehousing 9. Beyond Conventional Data Types 10. Transactions and Concurrency Control 11. PostgreSQL Security 12. The PostgreSQL Catalog 13. Optimizing Database Performance 14. Testing 15. Using PostgreSQL in Python Applications 16. Scalability

OLAP and Data Warehousing

A database usually performs the role of a storage component of a complex software solution. Depending on the type of the solution and what problem it aims to solve, the configuration of database and the data structure can be different. It is common to set up a database in regard to configuration and data structure in one of the two ways: online transaction processing (OLTP) and online analytical processing (OLAP). 

When a database works as a backend for an application, it implements an OLTP solution. This means that the database is supposed to perform a lot of small transactions on a regular basis. The car portal database we used as an example in previous chapters can be an example of a typical OLTP data structure. The application working with this database executes a transaction each time a user does something: creates an account, modifies...

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