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SQL for Data Analytics

You're reading from  SQL for Data Analytics

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781789807356
Pages 386 pages
Edition 1st Edition
Languages
Authors (3):
Upom Malik Upom Malik
Profile icon Upom Malik
Matt Goldwasser Matt Goldwasser
Profile icon Matt Goldwasser
Benjamin Johnston Benjamin Johnston
Profile icon Benjamin Johnston
View More author details

Table of Contents (11) Chapters

Preface 1. Understanding and Describing Data 2. The Basics of SQL for Analytics 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

Relational Databases and SQL

A relational database is a database that utilizes the relational model of data. The relational model, invented by Edgar F. Codd in 1970, organizes data as relations, or sets of tuples. Each tuple consists of a series of attributes, which generally describe the tuple. For example, we could imagine a customer relation, where each tuple represents a customer. Each tuple would then have attributes describing a single customer, giving information such as first name, last name, and age, perhaps in the format (John, Smith, 27). One or more of the attributes is used to uniquely identify a tuple in a relation and is called the relational key. The relational model then allows logical operations to be performed between relations.

In a relational database, relations are usually implemented as tables, as in an Excel spreadsheet. Each row of the table is a tuple, and the attributes are represented as columns of the table. While not technically required, most tables...

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