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You're reading from  Data Wrangling with SQL

Product typeBook
Published inJul 2023
PublisherPackt
ISBN-139781837630028
Edition1st Edition
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Authors (2):
Raghav Kandarpa
Raghav Kandarpa
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Raghav Kandarpa

Raghav Kandarpa is an experienced Data Scientist in Finance and logistics industry with expertise in SQL, Python, Building Machine Learning Models, Financial Data Modelling, and Statistical Analysis. He holds a Masters' degree in Business Analytics specializing in Data Science from the University of Texas at Dallas.
Read more about Raghav Kandarpa

Shivangi Saxena
Shivangi Saxena
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Shivangi Saxena

Shivangi Saxena is an experienced BI Engineer with proficiency in SQL, Data Visualization, and Statistical Analysis. She holds a master's degree in Information Technology and Management from the University of Texas at Dallas. She has several years of experience building several BI tools and products using SQL and BI reporting tools which has helped stakeholders to get visibility to the right data points
Read more about Shivangi Saxena

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Introduction to subqueries

A subquery is a query nested within another query, where the inner query is executed first and its result is used as input to the outer query. In other words, a subquery is a query within a query. Subqueries can be used to return data that is used in the main query as a condition to further restrict the data that is retrieved.

A subquery is a SELECT statement that is nested inside another SELECT, INSERT, UPDATE, or DELETE statement. The result of the subquery is used to modify the data retrieved by the main query.

Subqueries are used to retrieve data from multiple tables based on complex conditions and to aggregate and summarize data in a way that cannot be done with a single query.

Figure 7.1 – Subquery

Figure 7.1 – Subquery

The syntax is as follows:

SELECT column_listFROM table_name
WHERE column_name operator (SELECT column_name
                 ...
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Data Wrangling with SQL
Published in: Jul 2023Publisher: PacktISBN-13: 9781837630028

Authors (2)

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Raghav Kandarpa

Raghav Kandarpa is an experienced Data Scientist in Finance and logistics industry with expertise in SQL, Python, Building Machine Learning Models, Financial Data Modelling, and Statistical Analysis. He holds a Masters' degree in Business Analytics specializing in Data Science from the University of Texas at Dallas.
Read more about Raghav Kandarpa

author image
Shivangi Saxena

Shivangi Saxena is an experienced BI Engineer with proficiency in SQL, Data Visualization, and Statistical Analysis. She holds a master's degree in Information Technology and Management from the University of Texas at Dallas. She has several years of experience building several BI tools and products using SQL and BI reporting tools which has helped stakeholders to get visibility to the right data points
Read more about Shivangi Saxena