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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
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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

Summary

In this chapter, we have covered a wide variety of topics all designed to help us understand and improve the performance of our SQL queries. The chapter began with a thorough discussion of the query planner, including the EXPLAIN and ANALYZE statements, as well as various indexing methods. We discussed a number of different compromises and considerations that can be made to reduce the time taken to execute queries. We considered a number of scenarios where indexing methods would be of benefit and others where the query planner may disregard the index, thus reducing the efficiency of the query. We then moved on to the use of joins to efficiently combine information from a number of different tables and ended with an in-depth look at functions and automatic function calls through the use of triggers.

In the next chapter, we will combine all of the topics we have covered thus far in a final case study, applying our SQL knowledge and the scientific method in general, as we solve...

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