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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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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

Updating Tables

Over time, you may also need to modify a table by adding columns, adding new data, or updating existing rows. We will discuss how to do that in this section.

Adding and Removing Columns

To add new columns to an existing table, we use the ADD COLUMN statement as in the following query:

ALTER TABLE {table_name}
ADD COLUMN {column_name} {data_type};

Let's say, for example, that we wanted to add a new column to the products table that we will use to store the products' weight in kilograms called weight. We could do this by using the following query:

ALTER TABLE products
ADD COLUMN weight INT;

This query will make a new column called weight in the products table and will give it the integer data type so that only numbers can be stored within it.

If you want to remove a column from a table, you can use the DROP column statement:

ALTER TABLE {table_name}
DROP COLUMN {column_name};

Here, {table_name} is the name of the table you want to...

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SQL for Data Analytics
Published in: Aug 2019
Publisher: Packt
ISBN-13: 9781789807356
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