Advanced Sql Queries

This section introduces advanced SQL query techniques, including aggregate functions, grouping, filtering, and joining data from multiple tables to enable complex data analyses.

Aggregate Functions

Aggregate functions in SQL are powerful tools for summarizing data across rows, helping to answer questions about groups of data.

Group By Clause

The GROUP BY clause in SQL allows users to organize rows into groups based on specified columns and provides summarization through aggregate functions.

Having Clause

The HAVING clause in SQL is used to filter groups after aggregation, enabling the retrieval of summarized data based on specific conditions.

Order By Clause

The ORDER BY clause in SQL is used to sort the result set of a query by one or more columns, allowing data to be presented in a user-friendly manner.

Sql Joins

SQL Joins are used to combine rows from two or more tables based on related columns, enabling the retrieval of related data efficiently.

Inner Join (Or Just Join)

INNER JOIN is a SQL operation that combines rows from two tables when there is a match between specified common columns, excluding unmatched rows.

Left Join (Or Left Outer Join)

A LEFT JOIN retrieves all rows from the left table and the matching rows from the right table, filling unmatched rows with NULL values.

Right Join (Or Right Outer Join)

RIGHT JOIN retrieves all records from the right table and the matched records from the left table, returning NULL for unmatched records.

Full Join (Or Full Outer Join)

A FULL JOIN returns all rows from both the left and right tables, matching them where possible and using NULL for non-matching rows.

Self-Join

A self-join is a technique in SQL used to combine rows from the same table based on a related column.

Cross Join

A CROSS JOIN creates a Cartesian product of two tables, combining every row from the first table with every row from the second table.

Subqueries (Nested Queries)

Subqueries are SQL queries nested within other queries that allow for more complex data retrieval by using the results of one query as a condition in another.

Scalar Subqueries

Scalar subqueries return a single value and can be used in various SQL clauses.

Row Subqueries

Row subqueries allow you to retrieve a single row that can match across multiple columns in SQL.

Table Subqueries (Derived Tables / Inline Views)

This section explores table subqueries, also known as derived tables or inline views, which allow the use of subqueries within the FROM clause of SQL to create temporary result sets for further querying.

Any, All, Exists, In Operators With Subqueries

This section covers the use of ANY, ALL, EXISTS, and IN operators in SQL subqueries to create specific conditions for queries.

Set Operations

Set operations in SQL allow for the combination of results from two or more independent SELECT statements into a single result set.

Module Summary

This module delves into advanced SQL queries, focusing on aggregate functions, grouping, filtering, joins, subqueries, and set operations.