Course Outline in PDF

Other Delivery Methods: Self-Paced e-Learning

Overview:

This course will show students how to improve their SQL skills, in order to be able to analyze their company’s data including  writing queries and reports.  Students will be able to consolidate data from multiple databases, and also learn how to optimize their reports. The main tool for all lab exercises is Oracle SQL Developer.
Who Should Attend:
This course is intended for:
•Data Warehouse Administrators
•Form Developers
•Developers
•Business Analysts
•Application Developers
•PL/SQL Developer
At Course Completion:
After completing the course the students will be able to:                                                                                                                 
∙Discover the latest security standards and practices In WIFI
•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
•Run data manipulation statements (DML) to update data in the Oracle Database 11g
•Create tables to store data
•Use scalar and correlated sub-queries
•Use the regular expression support in SQL
•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

Outline:  
 
Module 1:  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

Module 2: 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

Module 3: Restricting and Sorting Data
•Write queries that contain a WHERE clause to limit the output retrieved clause
•Describe the rules of precedence for comparison and logical operators
•Use character string literals in the WHERE clause statement
•Sort output in descending and ascending order

Module 4: 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

Module 5: 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

Module 6: 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

Module7: 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

Module 8: 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

Module 9: 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

Module 10: 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 consistenc

Module 11: 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

Module 12: Creating Other Schema Objects
•Create a simple and complex view
•Retrieve data from views
•Create, maintain, and use sequences
•Create, maintain indexes
•Create private and public synonyms

Module 13: 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 role

Module 14: 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

Module 15: 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
•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

Module 16: 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

Module 17: 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

Module 18: Regular Expression Support
•List the benefits of using regular expressions
•Use regular expressions to search for, match, and replace strings