Oracle Database 11g SQL
Description
This course provides the essential SQL skills that allow developers to write queries against single and multiple tables, manipulate data in tables, and create database objects. Students learn to execute queries, inserts, updates, and deletes against a database and create database tables, constraints, sequences, indexes, views, and users. Students learn to control privileges at the object and system level. Students learn to use the advanced features of SQL in order to query and manipulate data within the database and use the dictionary views to retrieve metadata. Students also learn about Oracle database’s built-in functions including date-time functions and the regular expression support in SQL.
Intended audience
The course is targeted for those interested in mastering the SQL language in Oracle environment
Topics
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
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 Using Joins
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
Analytic Functions
Describe the types of problem that analytic functions can solve
Useful Analytic functions
How to use Analytic functions
Using window cluse
Using the SET Operators (UNION ALL, UNION, MINUS, INTERSECT)
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 and Row Locks
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
Creating Users
Granting System Privileges
Creating and Granting Privileges to a Role
Changing Your Password
Granting Object Privileges
Passing On Your Privileges
Revoking Object Privileges
Managing Schema Objects
Adding, Modifying and Dropping a Column
Adding, Dropping and Deferring a Constraint
Enabling and Disabling a Constraint
Creating and Removing Indexes
Creating a Function-Based Index
Performing Flashback Operations
Managing Objects with Data Dictionary Views
Explain the data dictionary
Using the Dictionary Views
USER_OBJECTS and ALL_OBJECTS Views
Table and Column Information
Querying the dictionary views for constraint information
Querying the dictionary views for view, sequence, index and synonym information
Querying the dictionary views for comment information
Retrieving Data Using Sub-queries
Multiple-Column Subqueries
Pairwise and Nonpairwise Comparison
Using Scalar Subquery Expressions
Updating and Deleting Rows Using Correlated Subqueries
Using the EXISTS and NOT EXISTS operators
Using the WITH clause (and Recursive WITH)
Regular Expression Support
Using the Regular Expressions Functions and Conditions in SQL
Using Meta Characters with Regular Expressions
Performing a Basic Search using the REGEXP_LIKE function
Finding patterns using the REGEXP_INSTR function
Extracting Substrings using the REGEXP_SUBSTR function
Replacing Patterns Using the REGEXP_REPLACE function
Using Sub-Expressions with Regular Expression Support
Using the REGEXP_COUNT function
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