Introduction to Oracle 11g Structured Query Language (SQL)
(40 Hours)

Series: Database Series

Audience and Prerequisites Overview Course Outline Detail

George Mason University partners with Oracle in the Oracle University program. Official Oracle curriculum is utilized in our Oracle 11g Introduction to Oracle 11g Structured Query Language course. Our instructors are Oracle Certified Professionals with real-world database administration experience.

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AUDIENCE AND PREREQUISITES

This course is designed for individuals who have some computer and database experience and wish to learn Oracle 11g Strucured Query Language (SQL). Related experience might include familiarity with Microsoft Windows, Microsoft Office, programming and/or other databases. Contact us at 703-993-1551 for more information on this course or Oracle career paths.

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OVERVIEW

This hands-on course will teach you to effectively query and manipulate data in an Oracle 11g database. You will also learn skills to create objects like tables, views and indexes in an Oracle 11g database system. All books and materials are included.

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COURSE OUTLINE

Introduction

• Listing the features of Oracle Database 11g
• Discussing the basic design, theoretical and physical aspects of a relational database
• Describing the development environments for SQL
• Describing Oracle SQL Developer
• Describing the data set used by the course

Retrieving Data Using the SQL SELECT Statement

• Listing the capabilities of SQL SELECT statements.
• Generating a report of data from the output of a basic SELECT statement
• Using arithmetic expressions and NULL values in the SELECT statement
• Using Column aliases
• Using concatenation operator, literal character strings, alternative quote operator, and the DISTINCT keyword
• Displaying the table structure using the DESCRIBE command

Restricting and Sorting Data

• Writing queries with a WHERE clause to limit the output retrieved
• Using the comparison operators and logical operators
• Describing the rules of precedence for comparison and logical operators
• Using character string literals in the WHERE clause
• Writing queries with an ORDER BY clause to sort the output
• Sorting output in descending and ascending order
• Using the Substitution Variables

Using Single-Row Functions to Customize Output

• Differentiating between single row and multiple row functions
• Manipulating strings using character functions
• Manipulating numbers with the ROUND, TRUNC and MOD functions
• Performing arithmetic with date data
• Manipulating dates with the date functions

Using Conversion Functions and Conditional Expressions

• Describing implicit and explicit data type conversion
• Using the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
• Nesting multiple functions
• Applying the NVL, NULLIF, and COALESCE functions to data
• Using conditional IF THEN ELSE logic in a SELECT statement

Reporting Aggregated Data Using the Group Functions

• Using the aggregation functions in SELECT statements to produce meaningful reports
• Using AVG, SUM, MIN, and MAX function
• Handling Null Values in a group function
• Creating queries that divide the data in groups by using the GROUP BY clause
• Creating queries that exclude groups of date by using the HAVING clause

Displaying Data From Multiple Tables

• Writing SELECT statements to access data from more than one table
• Joining Tables Using SQL:1999 Syntax
• Viewing data that does not meet a join condition by using outer joins
• Joining a table by using a self join
• Creating Cross Joins

Using Sub-queries to Solve Queries

• Using a Subquery to Solve a Problem
• Executing Single-Row Sub-queries
• Using Group Functions in a Sub-query
• Using Multiple-Row Subqueries
• Using the ANY and ALL Operator in Multiple-Row Sub-queries

Using the SET Operators

• Describing the SET operators
• Using a SET operator to combine multiple queries into a single query
• Using UNION, UNION ALL, INTERSECT, and MINUS Operator
• Using the ORDER BY Clause in Set Operations

Manipulating Data

• Adding New Rows to a Table Using the INSERT statement
• Changing Data in a Table Using the UPDATE Statement
• Using DELETE and TRUNCATE Statements
• Saving and discarding changes with the COMMIT and ROLLBACK statements
• Implementing Read Consistency
• Using the FOR UPDATE Clause

Using DDL Statements to Create and Manage Tables

• Categorizing Database Objects
• Creating Tables using the CREATE TABLE Statement
• Describing the data types
• Describing Constraints
• Creating a table using a subquery
• Altering and Dropping a table

Creating Other Schema Objects

• Creating, modifying, and retrieving data from a view
• Performing Data manipulation language (DML) operations on a view
• Dropping a view
• Creating, using, and modifying a sequence
• Creating and dropping indexes
• Creating and dropping synonyms

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