ORACLE DATABASE 11G (10-Day Course)

Course Objectives

• In this 10-days course, Trainees will learn the concepts of relational databases. It will provide the essential SQL skills that allow developers to write queries against single and multiple tables, manipulate data in tables, and create database objects. Trainees will learn to control privileges at the object and system level.This course covers creating indexes and constraints, and altering existing schema objects. Trainees also will learn how to create and query external tables and how to use the advanced features of SQL in order to query and manipulate data within the database, use the dictionary views to retrieve metadata and create reports about their schema objects.

Who Should Attend?

• Business Analysts.
• Application Developers.
• PL/SQL Developers.
• Forms Developers.
• System Analysts.
• Data Warehouse Administrators.

Content: 

Day one:

Introducing Oracle Database 11g

• List the features of Oracle Database 11g
• Discuss the basic design, theoretical and physical aspects of a relational database
• Categorize the different types of SQL statements
• Describe the data set used by the course
• Log onto the database using the SQL Developer environment
• Save queries to files and use script files in SQL Developer

Retrieving Data Using the SQL SELECT Statement

• List the capabilities of SQL SELECT statements
• Generate a report of data from the output of a basic SELECT statement
• Select All Columns
• Select Specific Columns
• Use Column Heading Defaults
• Use Arithmetic Operators
• Understand Operator Precedence
• Learn the DESCRIBE command to display the table structure

Day Two:

Restricting and Sorting Data

• Write queries that contain a WHERE clause to limit the output retrieved
• List the comparison operators and logical operators that are used in a WHERE clause
• Describe the rules of precedence for comparison and logical operators
• Use character string literals in the WHERE clause
• Write queries that contain an ORDER BY clause sort the output of a SELECT statement
• Sort output in descending and ascending order

Using Single-Row Functions to Customize Output

• Describe the differences between single row and multiple row functions
• Manipulate strings with character function in the SELECT and WHERE clauses
• Manipulate numbers with the ROUND, TRUNC and MOD functions
• Perform arithmetic with date data
• Manipulate dates with the date functions

Day Three:

Using Conversion Functions and Conditional Expressions

• Describe implicit and explicit data type conversion
• Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
• Nest multiple functions
• Apply the NVL, NULLIF, and COALESCE functions to data
• Use conditional IF THEN ELSE logic in a SELECT statement

Reporting Aggregated Data Using the Group Functions

• Use the aggregation functions in SELECT statements to produce meaningful reports
• Create queries that divide the data in groups by using the GROUP BY clause
• Create queries that exclude groups of date by using the HAVING clause

Day Four:

Displaying Data from Multiple Tables

• Write SELECT statements to access data from more than one table
• View data that generally does not meet a join condition by using outer joins
• Join a table by using a self-join

Using Sub-queries to Solve Queries

• Describe the types of problem that sub-queries can solve
• Define sub-queries
• List the types of sub-queries
• Write single-row and multiple-row sub-queries

Day Five:

Using the SET Operators

• Describe the SET operators
• Use a SET operator to combine multiple queries into a single query
• Control the order of rows returned when using the SET operators

Manipulating Data

• Describe each DML statement
• Insert rows into a table with the INSERT statement
• Use the UPDATE statement to change rows in a table
• Delete rows from a table with the DELETE statement
• Save and discard changes with the COMMIT and ROLLBACK statements
• Explain read consistency

Day Six:

Using DDL Statements to Create and Manage Tables

• Categorize the main database objects
• Review the table structure
• List the data types available for columns
• Create a simple table
• Decipher how constraints can be created at table creation
• Describe how schema objects work

Creating Other Schema Objects

• Create a simple and complex view
• Retrieve data from views
• Create, maintain, and use sequences
• Create and maintain indexes
• Create private and public synonyms

Day Seven:

Controlling User Access

• Differentiate system privileges from object privileges
• Grant privileges on tables
• View privileges in the data dictionary
• Grant roles
• Distinguish between privileges and roles

Managing Schema Objects

• Add constraints
• Create indexes
• Create indexes using the CREATE TABLE statement
• Create function-based indexes
• Drop columns and set column UNUSED
• Perform FLASHBACK operations
• Create and use external tables

Day Eight:

Managing Objects with Data Dictionary Views

• Explain the data dictionary
• Find table information
• Report on column information
• View constraint information
• Find view information
• Verify sequence information
• Understand synonyms
• Add comments

Manipulating Large Data Sets

• Manipulate data using sub-queries
• Describe the features of multi-table inserts
• Use the different types of multi-table inserts
• Merge rows in a table
• Track the changes to data over a period of time

Day Nine:

Managing Data in Different Time Zones

• Use data types similar to DATE that store fractional seconds and track time zones
• Use data types that store the difference between two date-time values
• Practice using the multiple data-time functions for globalize applications

Retrieving Data Using Sub-queries

• Write a multiple-column sub-query
• Use scalar sub-queries in SQL
• Solve problems with correlated sub-queries
• Update and delete rows using correlated sub-queries
• Use the EXISTS and NOT EXISTS operators
• Use the WITH clause

Day Ten:

Regular Expression Support

• List the benefits of using regular expressions
• Use regular expressions to search for, match, and replace strings