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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
Author Profile Icon Christopher Travers
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

Using PostgreSQL in Python Applications

A database is a storage component of a software solution. However, it does not just store information; it also ensures consistency when the data is properly modeled in relational structures. Additionally, a database can implement more complicated logic related to consistency, which goes beyond normalization, with triggers and rules. Of course, business logic can also be fulfilled by a database with functions written in PostgreSQL in PL/pgSQL or other languages supported by the DBMS. Implementation of business logic in a database is questionable from an architecture point of view, but this is outside the scope of this book.

Nevertheless, the tasks related to interaction with users or I/O cannot be performed by the database. External applications do this. In this chapter, you will learn how to connect and interact with a database from an external...

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