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Summary SQL Functions for Data Analyst

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This document provides complete and detailed notes on SQL Functions, covering types, creation, and real-world applications. What you will learn: Introduction to SQL Functions Types of functions (Scalar, Aggregate, UDF) Creating and using functions Advantages and disadvantages Comparison with stored procedures Real-world applications

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SQL Functions
Contents

1. Introduction to SQL Functions

2. What is a Function and Why it is Used

3. Types of SQL Functions

4. Scalar Functions

5. Aggregate Functions

6. User-Defined Functions (UDF)

7. Creating a Function

8. Advantages of Functions

9. Disadvantages of Functions

10. Functions vs Stored Procedures

11. Real-World Applications

12. Common Mistakes

13. Conclusion

, 1. Introduction to SQL Functions

SQL Functions are predefined or user-defined routines that perform a specific task and return a
value. They are widely used in database systems to simplify calculations, manipulate data, and
improve query readability. Unlike stored procedures, functions always return a result, which
makes them suitable for use within SQL queries.

In real-world databases, data often needs to be processed before it is displayed. For example,
calculating total salary, converting text to uppercase, or extracting specific parts of a date. SQL
functions help perform these operations efficiently without writing complex logic repeatedly.

Functions can be used in SELECT, WHERE, ORDER BY, and other clauses. This flexibility makes
them essential for data transformation and analysis. They are commonly used in reporting
systems, dashboards, and analytics applications.

Understanding SQL functions is important because they improve productivity and make queries
more concise and powerful. They also help in maintaining consistency across database
operations.

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