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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 2. PostgreSQL in Action FREE CHAPTER 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

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 the database and the data structure can be different. It's common to configure a database and data structure in one of two ways: online transaction processing (OLTP) or online analytical processing (OLAP).

In this chapter, we will discuss some features of PostgreSQL that help implement a data warehouse solution based on a PostgreSQL database, and theoretical concepts related to that, namely:

  • OLTP and OLAP: their purpose and differences
  • Online analytical processing: What it is and why it's special
  • Partitioning: A way to physically organize and manage huge tables
  • Parallel query: A feature that increases the speed of query execution
  • Index-only scans: A way to...
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