SQL (Structured Query Language) is one of the essential languages used for managing and querying data in relational databases. It is the backbone of database management s…
SQL (Structured Query Language) is one of the essential languages used for managing and querying data in relational databases. It is the backbone of database management systems, allowing users to retrieve, update, and manipulate data efficiently. This course, "SQL Structured Query Language", aims to equip participants with the necessary skills and knowledge to work with relational databases using SQL. Over 10 days, the course will cover basic to advanced SQL concepts, from writing simple queries to dealing with complex databases. This course is ideal for developers, data analysts, database administrators, and anyone interested in enhancing their database management and data analysis skills with SQL.
Course Objectives
By the end of the course, participants will be able to:
Who Should Attend?
Database Developers
Data Analysts
Database Administrators
IT Professionals
Anyone interested in learning SQL and relational database management
Individuals interested in advanced data analysis and complex SQL queries
Knowledge and Benefits:
After completing the program, participants will be able to master the following:
Acquire the fundamental skills to use SQL in relational database management.
Learn how to create and modify databases and tables using SQL.
Develop skills to write SQL queries for retrieving and analyzing data effectively.
Master advanced SQL functions such as aggregate operations, filtering, and joining tables.
Understand the fundamentals of optimizing SQL queries for performance and efficiency.
Course Outline
Introduction to Relational Databases
Understanding the relational database model
Database structure and relationships between tables
Importance of SQL in database management
SQL Syntax and Basic Commands
SELECT, INSERT, UPDATE, DELETE commands
SQL query structure and basic syntax
Difference between DML (Data Manipulation Language) and DDL (Data Definition Language)
Basic Data Types in SQL
Understanding SQL data types (text, numbers, dates)
Working with strings, numbers, and date values
Introduction to small database structures and applying SQL basics
Creating and Modifying Tables
Using the CREATE TABLE statement to create tables
Adding columns and modifying table structures using ALTER TABLE
Deleting tables using DROP TABLE
Inserting and Updating Data
Using INSERT to add new data
Using UPDATE to modify existing data
Using DELETE to remove data
Verifying and Querying Data
Using SELECT to retrieve data
Applying WHERE clause for filtering data
Using ORDER BY for sorting query results
Joins Between Tables (JOINs)
Types of joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
Understanding relationships between related tables
Using JOINs to retrieve data from multiple tables
Advanced Filtering with Multiple Conditions
Using AND and OR in SQL queries
Using NOT, BETWEEN,, LIKE for complex filters
Filtering data on aggregated values
Handling NULL Data and Missing Values
Dealing with NULL values in SQL
Using IS NULL and IS NOT NULL in queries
Using Aggregate Functions in SQL
Functions: COUNT, SUM, AVG, MAX, MIN
Using GROUP BY to group data
Filtering grouped data using HAVING
Subqueries
Using subqueries in SELECT and WHERE clauses
Combining subqueries with main queries
Understanding correlated and non-correlated subqueries
Understanding SQL Transactions
The concept of transactions in SQL
Using COMMIT and ROLLBACK commands
Ensuring data integrity through transactions
Access Control and Security in SQL
Managing permissions in SQL
Granting (GRANT) and revoking (REVOKE) permissions
Managing users in databases and controlling access
Basic Query Optimization
Indexing tables for faster query execution
Using indexes to speed up SELECT queries
Optimizing aggregate queries with GROUP BY
Advanced Query Performance Optimization
Using Common Table Expressions (CTEs) for complex queries
Optimizing complex JOIN queries
Using EXPLAIN to analyze query execution plans
Indexing and External Tool Integration
Using tools like SQL Server Management Studio or MySQL Workbench for performance analysis
Techniques for indexing large databases
Advanced techniques to improve query performance
Working with Date and Time Data in SQL
Handling date and time data types
Using date and time functions for formatting and operations
Comparing and filtering data by date ranges
Geospatial Data in SQL
Inserting and retrieving geospatial data
Using advanced geospatial functions in SQL
Working with map and location-based data in databases
User-Defined Functions (UDFs)
Creating user-defined functions in SQL
Using UDFs in queries
Comparing UDFs with stored procedures
Stored Procedures
Understanding stored procedures and their benefits
Creating stored procedures using SQL
Calling stored procedures in SQL queries
Triggers
Using triggers to automate actions in the database
Creating triggers for INSERT, UPDATE, DELETE events
Managing triggers for data consistency and automation
Cross-Database Queries
Working with multiple databases in SQL
Integrating SQL with external databases
Using database links and joins across databases
Temporary Tables and Large Datasets
Using temporary tables for complex queries
Handling large datasets with SQL
Working with advanced data sets using SQL
Using Arrays and Advanced Data Structures
Using arrays and advanced data types for data analysis
Working with advanced SQL data structures
Applying SQL on larger data models
Backup and Recovery in SQL
Importance of database backup strategies
How to back up a database using SQL
Restoring data from backups
Managing Tables and Data Over Time
How to manage table changes and data updates
Monitoring and ensuring database performance
Updating data while maintaining data consistency and integrity
Verifying Relationships and Data Integrity
Using constraints to ensure data integrity
Enforcing referential integrity between tables
Implementing primary and foreign key constraints
Schedule & Fees
2026 Schedule & Fees
There are no public sessions remaining for the course this year. Please contact us if you wish to have a customized in-house session, or to find out how an additional public session can be scheduled.