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SQL for Data Analytics

You're reading from   SQL for Data Analytics Perform fast and efficient data analysis with the power of SQL

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Product type Paperback
Published in Aug 2019
Publisher Packt
ISBN-13 9781789807356
Length 386 pages
Edition 1st Edition
Languages
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Authors (3):
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Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
Matt Goldwasser Matt Goldwasser
Author Profile Icon Matt Goldwasser
Matt Goldwasser
Upom Malik Upom Malik
Author Profile Icon Upom Malik
Upom Malik
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Toc

Table of Contents (11) Chapters Close

Preface 1. Understanding and Describing Data 2. The Basics of SQL for Analytics FREE CHAPTER 3. SQL for Data Preparation 4. Aggregate Functions for Data Analysis 5. Window Functions for Data Analysis 6. Importing and Exporting Data 7. Analytics Using Complex Data Types 8. Performant SQL 9. Using SQL to Uncover the Truth – a Case Study Appendix

8. Performant SQL

Learning Objectives

By the end of this chapter, you will be able to:

  • Optimize database use to allow more queries to be executed with fewer resources
  • Implement index and sequential scans and understand when to most effectively use them
  • Interpret the output of EXPLAIN ANALYZE
  • Understand the benefits of using joins in place of other functionality
  • Identify bottlenecks in queries
  • Implement triggers in response to specific events
  • Create and use functions to create more sophisticated and efficient queries
  • Identify long-running queries and terminate them

In this chapter, we will improve the performance of some of our previous SQL queries. Now that we have a good understanding of the basics, we will build upon this foundation by making our queries more resource and time efficient. As we begin to work with larger datasets, these efficiencies become even more important, with each computational step taking longer to compute...

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