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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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Summary

This brings us to the end of this chapter. So far, we have learned how SQL subqueries and CTEs are used to manipulate and retrieve data from multiple tables. Subqueries are used within another SQL statement and return a single value or a set of values to be used in the main query. CTEs provide a named, temporary result set that can be referenced within a SELECT, INSERT, UPDATE, or DELETE statement and are used to simplify complex SQL statements. To effectively use subqueries and CTEs, it’s important to understand the difference between them and how they can impact query performance. In conclusion, by mastering subqueries and CTEs, you can become a more effective and efficient SQL data wrangler.

In the next chapter, we will learn about SQL aggregate functions and understand how they can be used in the process of statistical analysis and data wrangling.

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Data Wrangling with SQL
Published in: Jul 2023Publisher: PacktISBN-13: 9781837630028

Authors (2)

author image
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