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Start Training Courses and Schedule Oracle Database 11g: Introduction to SQL

Oracle Database 11g: Introduction to SQL

 

In this course students learn the concepts of relational databases. 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 control privileges at the object and system level. This course covers creating indexes and constraints, and altering existing schema objects. Students also learn how to create and query external tables. Students learn 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. Students also learn some of the date-time functions available in the Oracle Database. This course discusses how to use the regular expression support in SQL. In this course, students use Oracle SQL Developer as the main development tool. SQL*Plus is introduced as an optional development tool. Learn To:


Create reports of sorted and restricted data
Run data manipulation statements (DML) to update data
Control database access to specific objects
Manage schema objects
Manage objects with data dictionary views
Retrieve row and column data from tables


Oracle Training Course Certified  
Skills Gained
 
 

Retrieve row and column data from tables with the SELECT statement
Create reports of sorted and restricted data
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
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


Who Can Benefit
 
 

Application Developers
Business Analysts
Data Warehouse Administrator
Developer
Forms Developer
PL/SQL Developer
System Analysts


Prerequisites
 
 

Familiarity with data processing concepts and techniques
Data processing


Suggested Next Courses
 
 

Oracle Database 11g: PL/SQL Fundamentals


 
     
  Email Training Course
     
Code: 11gDB-INTRO-SQL
Length: 5 days
Type: Instructor-Led
   
Certified By: Oracle
Tuition: $3,000
   
Oracle Training Course This course is taught by Certified Oracle instructors. There is a difference. Learn More
 
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training course details
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
  • 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
 




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