Precise querying - You will learn to write advanced SELECT queries with WHERE, GROUP BY, HAVING, and ORDER BY, so you can pull exactly the data you need from a database on your own.
Secure dynamic SQL - You will work with dynamic SQL and practical ways to reduce SQL Injection risk, so you can build flexible queries and procedures without exposing applications to common security flaws.
Efficient subqueries - You will practice nested and correlated subqueries as well as EXISTS, which will help you create cleaner and more accurate solutions when simple JOINs are not enough.
Functions and procedures - You will understand when to use a stored procedure and when a scalar or table-valued function is the better choice, making your SQL logic easier to organize and reuse.
Better data type choices - You will understand the differences between numeric, text, date, and XML types, helping you design tables more confidently and avoid conversion, performance, and data quality issues.
SQL flow control - You will master IF statements and WHILE or FOR loops, allowing you to build more advanced administrative and data-processing scripts without moving all logic into the application layer.
Transaction control - You will learn to use transactions in line with ACID principles and handle errors properly, so you can run multi-step operations safely without leaving data in an inconsistent state.
Automation with triggers - You will learn how DML and DDL triggers work, so you can automate reactions to data and schema changes, such as validation, auditing, or blocking unwanted operations.
Advanced SQL work combines data retrieval, modification, and controlled transformation of result sets. The material covers SELECT-based queries, INSERT, UPDATE, DELETE, views, dynamic SQL with SQL Injection prevention, table transformations, and cursor attributes.
Subqueries allow a query to depend on results produced at another level of processing. The section explains nested and correlated subqueries, then shows how the EXISTS operator is used to express conditional checks efficiently in SQL.
Using variables makes SQL scripts easier to parameterize and organize. The content covers declaring table-valued variables with DECLARE and addresses creating and modifying scalar functions where variable handling supports more controlled database logic.
Data types determine storage rules, conversions, and the behavior of database operations. This section reviews numeric, text, date and time, XML, and selected specialized types, with attention to how type choice influences SQL design.
Controlling execution flow is essential when SQL logic must react to conditions or repeat actions. Participants work with IF statements and loop constructs such as LOOP, WHILE, and FOR to build scripts that handle branching and iteration.
Temporary and global tables serve different purposes when processing intermediate data in relational databases. The section explains how these table types behave, when their scope matters, and how they support session-level or broader shared operations.
Choosing between a stored procedure and a function affects how database logic is structured and executed. The comparison focuses on their roles, typical usage patterns, and practical differences relevant to query design and server-side programming.
Stored procedures support repeatable database operations and centralize business logic on the server side. This part explains where procedures are used, how their general structure is organized, and how to create them correctly in SQL.
SQL functions are covered from two angles: built-in operations and custom definitions. The material includes scalar functions for date, time, text, logical processing, and conversion, then moves to table-valued functions, grouping, ordering, and user-defined solutions.
Reliable data processing depends on proper transaction control. Participants examine ACID principles, work through implementation examples, and learn how error handling affects COMMIT and rollback logic in practical SQL operations.
Triggers in SQL are presented as automation mechanisms reacting to data and schema changes. The section covers DML triggers for INSERT, UPDATE, and DELETE operations, as well as DDL triggers tied to CREATE, ALTER, and DROP statements.
SQL basics - You should be comfortable with simple SELECT queries, data filtering, and basic JOINs, so during the course you can focus on advanced topics instead of core syntax.
Working with tables - You should understand tables, rows, columns, and keys, and be able to perform simple INSERT, UPDATE, and DELETE operations in a relational database.
Relational database concepts - You should know basic relational database concepts such as relationships, join conditions, and common data type usage, so you can follow the course examples with ease.
Hands-on experience - It is recommended that you have already worked in a database environment and run SQL queries, because this course builds practical skills rather than starting from zero.
