The document discusses SQL operators for filtering data. The Like operator searches for a specified pattern, using wildcard characters. The Not Like operator excludes rows that match a pattern. The Between operator selects values within a specified numeric or date range. Mastering these operators allows for precise querying and filtering of data from a database.

1. Group No.8-Uzef
Patel
Exploring the
Power of Like
Operator, Not Like
Operator, and
Between Operator

2. Introduction
In this presentation, we will explore the
of the Like, Not Like, and
Between operators in SQL. We will
understand how these operators can
be used to filter and search data in a
database. By the end, you will have a
clear understanding of when to use
each operator and their impact on
query results.

3. Like Operator
The operator is used to search
for a specified pattern in a column.
It allows for wildcard characters
such as %and _.This operator is
useful for finding specific strings
within a larger text. Understanding
the syntax and functionality of the
Like operator is essential for
efficient data retrieval and
manipulation.

4. Not Like Operator
The operator is the negation of
the Like operator. It is used to exclude
rows that match a specified pattern. By
using the Not Like operator, we can
filter out unwanted data and focus on
the relevant information.
Understanding when to use the Not
Like operator is crucial for accurate
query results.

5. Between Operator
The operator is used to select
values within a range. It allows for
specifying a lower and upper bound for
a column. This operator is particularly
useful for filtering data based on
numeric or date ranges. Mastering the
application of the Between operator is
key for precise data retrieval and
analysis.

6. Conclusion
The Like, Not Like, and Between operators are powerful tools
for querying and filtering data in SQL. Understanding the
nuances of these operators empowers database professionals
to efficiently manipulate and retrieve data. By leveraging the
capabilities of these operators, one can optimize query
performance and obtain accurate results for various data
analysis tasks.

7. Thanks!
-Uzef Patel