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SQL for Data Analytics

You're reading from   SQL for Data Analytics Analyze data effectively, uncover insights and master advanced SQL for real-world applications

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Product type Paperback
Published in Nov 2025
Publisher Packt
ISBN-13 9781836646259
Length 336 pages
Edition 4th Edition
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Authors (5):
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Jun Shan Jun Shan
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Jun Shan
Haibin Li Haibin Li
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Haibin Li
Matt Goldwasser Matt Goldwasser
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Matt Goldwasser
Upom Malik Upom Malik
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Upom Malik
Benjamin Johnston Benjamin Johnston
Author Profile Icon Benjamin Johnston
Benjamin Johnston
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Data Management Systems
2. Introduction to Data Management Systems FREE CHAPTER 3. Creating Tables with Solid Structures 4. Exchanging Data Using COPY 5. Manipulating Data with Python 6. Part 2: Data Presentation and Manipulation
7. Presenting Data with SELECT 8. Transforming and Updating Data 9. Defining Datasets from Existing Datasets 10. Aggregating Data with GROUP BY 11. Inter-Row Operation with Window Functions 12. Part 3: Advanced Topics on Analytics
13. Performant SQL 14. Processing JSON and Arrays 15. Advanced Data Types: Date, Text, and Geospatial 16. Inferential Statistics Using SQL 17. A Case Study for Analytics Using SQL 18. Unlock Your Exclusive Benefits 19. Other Books You May Enjoy
20. Index

Joining tables

You learned about relational data modeling practices and normalization in Chapter 1, Introduction to Data Management Systems. In relational databases, data is often normalized to be stored across multiple tables to simplify the data model and avoid redundancy. However, there are times when you want to combine data from multiple tables into one large dataset. Depending on the nature of the tables, you may want to combine the rows of them. This is called a union. Or you may want to combine the columns of multiple datasets based on a related column (or columns) between them. This is called a join.

You will learn about the fundamentals of JOIN in this section and UNION in the next section. There are three major types of joins. You will start by learning about the inner join.

Inner joins

An inner join connects rows in different tables, based on a condition known as the join predicate. In many cases, the join predicate is a logical condition of column relationships...

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