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  Windows functions are a powerful feature of SQL that allow you to perform calculations or transformations on a set of rows that are related to the current row. They are also known as analytical functions or windowing functions. In this blog post, I will explain what windows functions are, how they work, and how you can use them to solve common data analysis problems. I will also show you some examples of windows functions using the Row_Number(), Rank(), Dense_Rank(), and NTILE() functions. This is part of my SQL Learning series, where I share my tips and tricks on how to master SQL. If you want to learn more, you can follow me on Medium and  LinkedIn , and check out my other posts on SQL topics. What are Windows Functions? Windows functions are a type of function that operate on a subset of rows, called a window, that are related to the current row. A window can be defined by using the OVER clause, which specifies how to partition and order the rows in the window. For exampl...

  Data transformation is the process of changing the format, structure, or values of data to make it more suitable for analysis, reporting, or other purposes. SQL, or Structured Query Language, is a powerful tool for data transformation, as it allows you to manipulate data stored in relational databases using various functions and statements. In this blog post, I will introduce you to four common SQL functions that can help you transform your data: CASE, COALESCE, CONCAT, and CAST/CONVERT. I will also provide some examples of how to use them in your queries. By the end of this post, you will have a better understanding of how to use SQL for data transformation and why it is important. CASE Statement: The CASE statement is a conditional logic statement that allows you to perform different actions based on different conditions. You can use it to create new columns, assign values, or control the flow of your query. The syntax of the CASE statement is as follows: CASE WHEN condition1 T...