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The Applied SQL Data Analytics Workshop

You're reading from   The Applied SQL Data Analytics Workshop Develop your practical skills and prepare to become a professional data analyst

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781800203679
Length 484 pages
Edition 2nd Edition
Languages
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Authors (3):
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Upom Malik Upom Malik
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Upom Malik
Benjamin Johnston Benjamin Johnston
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Benjamin Johnston
Matt Goldwasser Matt Goldwasser
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Matt Goldwasser
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Toc

Assembling Data

We have previously discussed how to perform operations with a single table. But what if you need data from two or more tables? In this section, we will assemble data in multiple tables using joins and unions.

Connecting Tables Using JOIN

In the previous chapter, we discussed how to query data from a table. However, most of the time, the data you are interested in is spread across multiple tables. Fortunately, SQL has methods for bringing related tables together using the JOIN keyword.

To illustrate, let's take a look at two tables in our database—dealerships and salespeople.

Figure 2.1: Dealerships table structure

Figure 2.2: Salespeople table structure

Figure 2.2: Salespeople table structure

In the salespeople table, we observe that we have a column called dealership_id. This dealership_id column is a direct reference to the dealership_id column in the dealerships table. When table A has a column that references the primary key of...

You have been reading a chapter from
The Applied SQL Data Analytics Workshop - Second Edition
Published in: Feb 2020
Publisher: Packt
ISBN-13: 9781800203679
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