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#9 SQL Having clause Explained | in Tamil | SQL A-Z tutorial series for beginners
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SQL Basic for Beginners Tutorial in Tamil | Learn SQL With MySQL | sql tutorial for beginners - #9 SQL Having clause Explained | in Tamil | SQL A-Z tutorial series for beginners

Master SQL: From Basics to Advanced with Error Makes Clever! Explore dynamic tutorials, practice questions, and expert insights in Tamil to boost your database skills efficiently and effectively.

5.0 (1)
12 learners

What you'll learn

Understand the differences between SQL and NoSQL databases
Install and configure MySQL for database management
Execute DDL and DML commands to manipulate databases
Apply SQL functions and clauses for data aggregation and ordering

This course includes

  • 2 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

Join our Live 4 Month Job-Ready BOOTCAMPS: Full Stack Development – Build web apps from scratch https://www.errormakesclever.com/fullstack-course?source=FSD_YT_Organic DevOps with AWS– Learn automation, CI/CD & cloud deployment https://www.errormakesclever.com/devops?source=Devops_YT_Organic UI/UX Design – Master design thinking & user experience https://www.errormakesclever.com/ui-ux?source=UIUX_YT_Organic In the world of SQL, the `HAVING` clause is a powerful tool that helps us filter and manipulate data in a way that the `WHERE` clause can't quite manage. While the `WHERE` clause filters rows based on conditions applied to individual records, the `HAVING` clause comes into play when we want to filter the results of aggregated data, typically from `GROUP BY` operations. Think of it like this: the `WHERE` clause is your gatekeeper for individual rows, deciding which rows make it into the result set. In contrast, the `HAVING` clause acts as a bouncer for aggregated data, letting you control which groups of data get to join the party in your final result set. Here's what you'll learn in this video: 1. **The Basics**: I'll start by explaining the basic syntax of the `HAVING` clause and how it's used in conjunction with the `GROUP BY` clause. 2. **Aggregation**: We'll explore the power of aggregation functions like `SUM`, `COUNT`, `AVG`, and `MAX`, and see how they're often paired with `HAVING` to filter summarized data. 3. **Examples**: I'll provide real-world examples to illustrate when and why you'd want to use `HAVING`, such as finding customers who've made more than a certain number of purchases or products with a certain sales threshold. 4. **Comparison with WHERE**: We'll draw a clear distinction between the `HAVING` and `WHERE` clauses, so you'll know exactly when to use each. By the end of this video, you'll have a solid grasp of how the `HAVING` clause is your go-to tool for filtering and shaping summarized data in SQL. It's a must-know for anyone working with databases, especially when dealing with reporting and analytics. So, if you're ready to level up your SQL skills, hit that play button and let's dive into the world of SQL's `HAVING` clause! Don't forget to like this video, subscribe to our channel, and hit the notification bell to stay updated with more database tutorials and tips. Let's get started! 🚀

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