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SQL for Data Analytics

You're reading from   SQL for Data Analytics Harness the power of SQL to extract insights from data

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781801812870
Length 540 pages
Edition 3rd Edition
Languages
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Authors (4):
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Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
Matt Goldwasser Matt Goldwasser
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Matt Goldwasser
Jun Shan Jun Shan
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Jun Shan
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, you have covered a wide variety of topics designed to help you understand and improve the performance of your 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. You discussed different compromises and considerations that can be made to reduce the time needed to execute queries. You considered several 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. You then moved on to learn how to kill long-running queries. You also covered an in-depth look at functions and automatic function calls using triggers and learned about the \df and \sf commands.

In the next chapter, you will combine all the topics you have covered thus far in a final case study, applying your SQL knowledge and the scientific method in general, as you solve a real-world problem...

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