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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. Let’s summarize the key topics that have been covered:

  • Understand the concept of a window function, which is a calculation that operates on a window of rows within a table
  • Identify common types of window functions, including aggregate and ranking functions, and be able to use them in SQL queries
  • Understand the syntax of a window function, including the OVER clause, which is used to define the window of rows to operate on
  • Use the PARTITION BY clause to group rows into partitions for calculation purposes
  • Understand the difference between window functions and aggregate functions, which operate on groups of rows rather than windows of rows
  • Understand the difference between window functions and subqueries, which can both be used to calculate values based on sets of rows, but operate in different ways
  • Understand the limitations of window functions and how they may perform differently based on the underlying...
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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