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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 FREE CHAPTER 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

Creating Tables

Now that we know how to read data from tables, we will now look at how to create new tables. There are fundamentally two ways to create tables: creating blank tables or using SELECT queries.

Creating Blank Tables

To create a new blank table, we use the CREATE TABLE statement. This statement takes the following structure:

CREATE TABLE {table_name} (
{column_name_1} {data_type_1} {column_constraint_1},
{column_name_2} {data_type_2} {column_constraint_2},
{column_name_3} {data_type_3} {column_constraint_3},
…
{column_name_last} {data_type_last} {column_constraint_last},
);

Here {table_name} is the name of the table, {column_name} is the name of the column, {data_type} is the data type of the column, and {column_constraint} is one or more optional keywords giving special properties to the column. Before we discuss how to use the CREATE TABLE query, we will first discuss column constraints.

Column Constraints

Column constraints are keywords that...

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