This outline is designed for a comprehensive course on SQL, focusing on database management, querying, and data manipulation using SQL. The course includes both theoretical concepts and practical hands-on exercises
While SQL is a beginner-friendly language, there are a few basic prerequisites that will help students get the most out of an SQL course. These prerequisites ensure that learners have the foundational knowledge needed to understand and apply SQL concepts effectively.
Undergraduate Degree in Computer Sceince, or Related Field
What is a database?
Types of databases: Relational vs. Non-relational databases
Introduction to database management systems (DBMS)
Definition of SQL
History and evolution of SQL
Types of SQL commands: DDL, DML, DCL, TCL
Tables, rows, and columns
Keys: Primary Key, Foreign Key
Basic normalization concepts
Syntax of SELECT
Selecting all columns (SELECT *)
Selecting specific columns
WHERE clause
Comparison operators: =, <, >, <=, >=, <>
Logical operators: AND, OR, NOT
IN, BETWEEN, LIKE, and IS NULL
ORDER BY clause (ascending, descending)
Sorting by multiple columns
ORDER BY clause (ascending, descending)
Sorting by multiple columns
Using LIMIT (or TOP in some systems)
COUNT(), SUM(), AVG(), MIN(), MAX()
Grouping data by one or more columns
Using aggregate functions with GROUP BY
Filtering grouped data using HAVING
Removing duplicate rows from result sets
INNER JOIN
LEFT JOIN (OUTER JOIN)
RIGHT JOIN (OUTER JOIN)
FULL OUTER JOIN
CROSS JOIN
Using ON clause to specify join conditions
Self-joins and recursive joins
Joining more than two tables
Using subqueries with joins
What is a subquery?
Types of subqueries: scalar, column, and table subqueries
Subqueries in WHERE, FROM, and HAVING clauses
Correlated vs. non-correlated subqueries
Subqueries within subqueries
Syntax for inserting single and multiple rows
Inserting data using SELECT
...
Updating data in one or more columns
Using WHERE to specify which records to update
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Deleting data from a table
Deleting all rows vs. selective deletion with WHERE
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Understanding transactions in SQL
COMMIT and ROLLBACK commands
Transaction isolation levels
Why normalization is important
First, Second, and Third Normal Forms (1NF, 2NF, 3NF)
Denormalization and trade-offs
Defining table structures: CREATE TABLE
Adding constraints: PRIMARY KEY, FOREIGN KEY, NOT NULL, UNIQUE
Defining default values and check constraints
ALTER TABLE to add, modify, or drop columns
Dropping tables or constraints
What are indexes?
Types of indexes: Unique, Composite, Full-text
Creating and managing indexes
Performance implications of indexes
What is a view?
Creating and using views
Updating data through views (if possible)
Creating and using stored procedures
Differences between stored procedures and functions
Input/output parameters
What are triggers?
Creating triggers for INSERT, UPDATE, DELETE
Use cases and limitations of triggers
ACID properties: Atomicity, Consistency, Isolation, Durability
Handling concurrent transactions and locks
Analyzing execution plans
Using EXPLAIN and other tools to optimize queries
Avoiding common performance pitfalls
Choosing which columns to index
Analyzing index usage
Index maintenance
Caching and memory management
Partitioning large tables for performance
Optimizing JOINs and subqueries
Understanding SQL injection attacks
Preventing SQL injection through parameterized queries
Managing user access with GRANT and REVOKE
Role-based access control
Tracking and logging changes in the database
Auditing SQL queries and operations
Recursive queries (Common Table Expressions or CTEs)
Pivoting and unpivoting data
Window functions (e.g., ROW_NUMBER(), RANK(), PARTITION BY)
Backup strategies and types (full, incremental)
Restoring and migrating databases
Practical application of all learned SQL concepts
Creating a database, writing queries, and optimizing performance
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