Data Summarization in SQL Server: Essential Aggregate Functions | DBMS Tutorials | Part 27

Welcome back to Digital Tech! In Part 27 of our Database Systems series, we are taking our Data Query Language (DQL) skills to the next level. Now that we know how to retrieve raw data, it is time to learn how to analyze and summarize it using SQL Aggregate Functions. In this lecture, we cover the core functions used by database administrators and developers to calculate totals, averages, and extreme values. We also dive into crucial exam and interview topics, including how these functions handle missing data and text strings! 📌 In this video, you will learn: The Essentials: How to effectively use COUNT(), SUM(), AVG(), MIN(), and MAX(). The NULL Exception: Why almost all aggregate functions ignore NULL values, and why COUNT(*) is the one major exception. Evaluating Strings: How MIN() and MAX() evaluate alphabetical order when applied to text columns. Practice Assignment: Open SSMS and connect to your university database. Write a single query that returns the total number of students enrolled, the highest marks achieved in the current semester, and the average marks across all courses! #SQLServer #TSQL #DatabaseManagement #LearnSQL #ComputerScience #DBMS #SQLAggregateFunctions #DigitalTech #DataAnalysis #Programming