Course in Oracle 11g SQL

The objective of this course is to:
• Employ SQL functions to generate and retrieve customized data
• Display data from multiple tables using the ANSI SQL 99 JOIN syntax
• Identify the major structural components of the Oracle Database 11g
• Create reports of aggregated data
• Write SELECT statements that include queries
• Retrieve row and column data from tables with the SELECT statement
• Run data manipulation statements (DML) to update data in the Oracle Database 11g
• Create tables to store data
• Utilize views to display and retrieve data
• Control database access to specific objects
• Manage schema objects
• Manage objects with data dictionary views
• Write multiple-column sub-queries
• Use scalar and correlated sub-queries
• Use the regular expression support in SQL
• Create reports of sorted and restricted data

Introduction to Oracle Database 11g

• Features of Oracle Database 11g
• Basic design, theoretical and physical aspects of a relational database
• Different types of SQL statements
• Describe the data set used by the course
• Logging 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

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

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

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

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

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

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

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

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

Regular Expression Support

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