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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

Functions and Triggers

So far in this chapter, you have discovered how to quantify query performance via the Query Planner. In this section, you will construct reusable queries and statements via functions, as well as automatic function execution via trigger callbacks. The combination of these two SQL features can be used to not only run queries or re-index tables as data is added to, updated in, or removed from the database but also run hypothesis tests and track their results throughout the life of the database.

Function Definitions

As in almost all other programming or scripting languages, functions in SQL are contained sections of code that provide a lot of benefits, such as efficient code reuse and simplified troubleshooting processes. You can use functions to repeat or modify statements or queries without re-entering the statement each time or searching for its use throughout longer code segments. One of the most powerful aspects of functions is that they allow you to break...

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