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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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The importance of SQL window functions

SQL window functions are important for several reasons.

Figure 9.1 – SQL window functions

Figure 9.1 – SQL window functions

Let’s explore some of them:

  • Ease of use: Window functions simplify complex calculations by providing a convenient way to analyze a group of rows connected to the current row without requiring self-joins or multiple subqueries. This makes it easier for analysts and data scientists to perform data-wrangling tasks.
  • Increased efficiency: Window functions enable you to perform calculations within a single query, reducing the need for multiple subqueries or self-joins. This results in improved query performance and reduced complexity.
  • Improved readability: Window functions allow you to express complex calculations in a single query, making it easier to understand the logic and intent of the calculation. This improved readability makes it easier to maintain and modify the calculation in the future.
  • ...
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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