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Structured Query Language (SQL) Training

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SQL is an industry-standard language for accessing mainframe, midrange and LAN-based, multi-user relational databases. This SQL training course will teach the student how to read and write good SQL for querying, updating and maintaining SQL databases. This SQL course progresses through the elements of the language to build a thorough appreciation and understanding of SQL's capabilities and power. It covers ANSI-standard SQL and some of the common extensions.

This SQL training course is made up of a mix of theory and practical sessions. You will complete a series of exercises that cover all the important components of the language and allow you to practise your SQL.

Structured Query Language (SQL) Course Objectives

On completion of this Structured Query Language (SQL) training course, delegates will be able to:

describe where the SQL language came from and its set-based mode of operation
write SQL statements to create and manipulate database objects and data
read SQL effectively
write queries to join many related tables
use the features of the language to safeguard the data and its value to the user
recognise the dangers inherent in the language that may return the right result but would be fatally flawed with different data

Structured Query Language (SQL) Course Content

Introduction to Relational Databases

The need for an SQL standard
The ANSI standards
What is a database?
What is a relational database?
Components of a relational database
Normalised data
Anatomy of a table
Primary and foreign keys
Joins
Components of SQL

Data Manipulation Language

SELECT operations
DISTINCT
Virtual columns
Column aliases
Functions
Restricting the rows returned
Multiple conditions
Ordering data
Inserting rows
Updating rows
Deleting rows

Joining tables

The theory of joining tables
Cross, Inner, Outer, Full, Left and Right
Composite joins
Table aliases
SQL92 and SQL89 Join syntax

Data Definition Language

Data types
Column attributes
Create table
Primary and foreign keys
Referential integrity
Alter and drop tables

Views

Defining simple views
Views with virtual columns
Restricted-column views
Joined-table views
Restricted-row views
View restrictions

Summarised Queries

Table aggregates
GROUP BY and aggregates
The HAVING clause

Subqueries

Using simple Subqueries
EXISTS
Correlated Subqueries

Further Data Manipulation Language

Unions
Self joins

Data Control Language

Identifying users
Setting privileges
GRANT and REVOKE