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Learning PostgreSQL 11

You're reading from   Learning PostgreSQL 11 A beginner's guide to building high-performance PostgreSQL database solutions

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Product type Paperback
Published in Jan 2019
Publisher
ISBN-13 9781789535464
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Andrey Volkov Andrey Volkov
Author Profile Icon Andrey Volkov
Andrey Volkov
Christopher Travers Christopher Travers
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Christopher Travers
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Toc

Table of Contents (18) Chapters Close

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 17. What's Next? 18. Other Books You May Enjoy

Online analytical processing

A company that runs such a car portal website could store the HTTP access log in a database table. This can be used to analyze user activity; for example, to measure the performance of the application, to identify the patterns in the users' behavior, or simply to collect statistics about which car models are most popular. This data would be inserted into the table and never changed, and maybe deleted only when it is too old. However, the amount of data would be much bigger than the actual business data in the car portal database, but the data would be accessed only from time to time by internal users to perform analysis and create reports.

These users are not expected to execute many queries per second—the opposite in fact, but those queries will be big and complex, therefore the time that each query can take matters.

Another thing about...

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