Oracle SQL Expert Certification Training

"Great instructor! Instructor was very knowledgeable about Oracle and prepared properly for the test. He answered every question thoroughly. Also, he kept the mood light and humorous.”"

-K McGovern

Custom Training Quote

• Jun 05 - Jun 07, 2013
• Jul 31 - Aug 02, 2013
• Oct 02 - Oct 04, 2013
• Dec 11 - Dec 13, 2013

• Includes roundtrip airfare and lodging
  
  (Atlanta and Fort Lauderdale boot camps only)
• Hands-on instruction by a certified instructor
• Includes all course materials and practice exams
• Onsite Testing
• Breakfast and Lunch provided each day

Can't travel or you want to stay with your family or business. No problem! Stay in your own city and save the additional expenses of roundtrip airfare, lodging, transportation, and meals and receive the same great instruction live from our instructors in our Live Instructor-Led Remote Classroom Training.

Remote Classroom Training

Our Remote Classroom Training is a live class with students observing the instructor and listening through your computer speakers. You will see the instructor's computer, slides, notes, etc., just like in the classroom. You will be following along, doing work, labs, and individual assignments.

Oracle Database SQL Certified Experts demonstrate the complete set of skills required for working with the powerful SQL programming language and have mastered the key concepts of a relational database. SQL Experts understand how to use the advanced features of SQL in order to query and manipulate data within the database, control privileges at the object and system level, and use advanced querying and reporting techniques. They are able to manipulate large data sets and understand storing and retrieving dates according to different time zones. They are also knowledgeable about the concepts of controlling access and privileges for schema objects.

1Z0-047 Oracle SQL Expert

Course Outline

SELECT Statements

• Define projection, selection, and join terminology
• Select all columns using a wildcard notation from a table
• Write a query containing the arithmetic operators
• Create a character expression with the concatenation operator
• Using the iSQL*Plus Environment
• SQL statements versus iSQL*Plus commands

Restricting and Sorting Data

• Limit rows using a selection
• Using the WHERE clause to retrieve specific rows
• Using the comparison conditions in the WHERE clause
• Use the LIKE condition to compare literal values
• List the logical conditions AND, OR, NOT
• Describe the rules of precedence for the conditions
• Sort rows with the ORDER BY clause

Single-Row Functions

• Show the differences between single row and multiple row SQL functions
• Categorize the character functions into case manipulation and character manipulation types
• Use the character manipulation functions in the SELECT and WHERE clauses
• Explain and use the DATE and numeric functions

Aggregate Functions

• Describe and categorize the group functions
• Use the group functions
• Utilize the DISTINCT keyword with the group functions
• Describe how nulls are handled with the group functions
• Create groups of data with the GROUP BY clause
• Group data by more than one column
• Avoid illegal queries with the group functions
• Exclude groups of data with the HAVING clause

Joining Tables

• Identify Types of Joins
• Retrieve Records with Natural Joins
• Use Table Aliases to write shorter code and explicitly identify columns from multiple tables
• Create a Join with the USING clause to identify specific columns between tables
• Use the ON clause to specify arbitrary conditions or specify columns to Join
• List the Types of Outer Joins LEFT, RIGHT, and FULL
• Generating a Cartesian Product

Using Sub queries

• List the syntax for sub queries in a SELECT statements WHERE clause
• List the guidelines for using sub queries
• Describe the types of sub queries
• Execute single row sub queries and use the group functions in a sub query
• Identify illegal statements with sub queries
• Execute multiple row sub queries

Manipulating Data

• Write INSERT statements to add rows to a table
• Copy rows from another table
• Create UPDATE statements to change data in a table
• Generate DELETE statements to remove rows from a table
• Use a script to manipulate data
• Save and discard changes to a table through transaction processing
• Show how read consistency works
• Describe the TRUNCATE statement

Creating Tables

• List the main database objects and describe the naming rules for database objects
• Explain the different types of constraints
• Show resulting exceptions when constraints are violated with DML statements
• Create a table with a sub query
• Describe the ALTER TABLE functionality
• Remove a table with the DROP statement and Rename a table

Creating Objects

• Categorize simple and complex views and compare them
• Create a view
• Retrieve data from a view
• Explain a read-only view
• List the rules for performing DML on complex views
• Create a sequence
• List the basic rules for when to create and not create an index
• Create a synonym

Security

• Controlling User Access
• System versus Objects Privileges
• Using Roles to define user groups
• Changing Your Password
• Granting Object Privileges
• Confirming Privileges Granted
• Revoking Object Privileges

Schema Objects

• Using the ALTER TABLE statement
• Adding a Column
• Modifying a Column
• Dropping a Column, Set Column UNUSED
• Adding, Enabling and Disabling Constraints
• Creating Function-Based Indexes
• Performing FLASHBACK operations
• External Tables

Advanced DML Operations

• Using the MERGE Statement
• Performing DML with Sub queries
• Performing DML with a RETURNING Clause
• Tracking Changes in DML

Time Zone Changes

• Using date and time functions
• Identifying TIMESTAMP Data Types
• Differentiating between DATE and TIMESTAMP
• Performing Conversion Operations

Advanced Sub queries

• Sub query Overview
• Using a Sub query
• Comparing several columns using Multiple-Column Sub queries
• Defining a Data source Using a Sub query in the FROM Clause
• Returning one Value using Scalar Sub query Expressions
• Performing ROW by-row processing with Correlated Sub queries
• Reusing query blocks using the WITH Clause

Regular Expression

• Describing simple and complex patterns for searching and manipulating data

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