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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
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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 learned how to interface our database with other analytical tools for further analysis and visualization. While SQL is powerful, there are always going to be some analyses that need to be undertaken in other systems and being able to transfer data in and out of the database enables us to do just about anything we want with our data.

In the next chapter, we will examine data structures that can be used to store complex relationships in our data. We will learn how to mine insights from text data, as well as look at the JSON and ARRAY data types so that we can make full use of all of the information available to us.

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