Note the techniques below associated with the rudiments of Structured Query Lang

June 30, 2024

Note the techniques below associated with the rudiments of Structured Query Language (SQL), explain how you would apply at least three of the techniques to a medical records database.
The Structured Query Language (SQL) is a domain-specific language used for managing and manipulating relational databases. It’s essential for working with databases to store, retrieve, and manipulate data. Here are some of the rudiments of SQL:
SELECT Statement: The most common SQL statement, used to retrieve data from a database.
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SELECT column1, column2 FROM table_name WHERE condition;
INSERT Statement: Used to add new records into a table.
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INSERT INTO table_name (column1, column2) VALUES (value1, value2);
UPDATE Statement: Used to modify existing records in a table.
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UPDATE table_name SET column1 = value1, column2 = value2 WHERE condition;
DELETE Statement: Used to remove records from a table.
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DELETE FROM table_name WHERE condition;
CREATE TABLE Statement: Used to define a new table and its columns.
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CREATE TABLE table_name ( column1 datatype, column2 datatype, … );
ALTER TABLE Statement: Used to modify an existing table structure.
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ALTER TABLE table_name ADD column_name datatype;
DROP TABLE Statement: Used to delete an existing table.
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DROP TABLE table_name;
SELECT DISTINCT: Used to retrieve unique values from a column.
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SELECT DISTINCT column_name FROM table_name;
ORDER BY Clause: Used to sort the result set in ascending or descending order.
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SELECT column1, column2 FROM table_name ORDER BY column1 ASC, column2 DESC;
WHERE Clause: Used to filter records based on specified conditions.
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SELECT column1, column2 FROM table_name WHERE condition;
JOIN Clause: Used to combine rows from two or more tables based on a related column.
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SELECT column1, column2 FROM table1 JOIN table2 ON table1.column = table2.column;
GROUP BY Clause: Used to group rows that have the same values in specified columns.
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SELECT column1, COUNT(*) FROM table_name GROUP BY column1;
HAVING Clause: Used with GROUP BY to filter the result set based on aggregated values.
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SELECT column1, COUNT(*) FROM table_name GROUP BY column1 HAVING COUNT(*) > 5;
These are just some of the fundamental SQL concepts and statements. SQL is a powerful language that allows you to perform complex data manipulation and retrieval operations on databases.
Assignment Guidelines
Do “not” include the questions with your answers.
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