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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

Introduction

In order to extract insights from your database, you need data. And, while it's possible that some of that data will be populated and updated for you, there are always going to be scenarios where you need more data that is not yet in your database. In this chapter, we are going to explore how we can efficiently upload data to our centralized database for further analysis.

Not only will we want to upload data to our database for further analysis, but there are also going to be times where we want to download data from our database for further processing. We will also explore the process of extracting data from our database.

One of the primary reasons you would want to upload or download data to or from your database is because you have other analytics tools that you want to use. You will often want to use other software to analyze your data. In this chapter, we will also look at how you can integrate your workflows with two specific programming languages that...

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