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2KO presents Oracle courses in Cape Town by means of full time instructor-led training; as well as internet-accessible online training, which are aimed at International IT Certification exams. 2KO International delivers computer courses from beginner level to advanced, and is also a leading supplier of of online IT training courses, enabling 2KO students the opportunity to study courses online world-wide, to ensure the best training possible.

Oracle SQL Overview
2KO International proudly offers Oracle SQL expert courses in Cape Town, South Africa. 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

Target Audience
Programmers and others working with PL/SQL.

Familiarity with Data Processing Concepts and Techniques
Ability to use a graphical user interface (GUI)

Introduction and Overview

Retrieving Data Using the SQL SELECT Statement
List the capabilities of SQL SELECT statements
Execute a basic SELECT statement
Describe how schema objects work

Restricting and Sorting Data
Limit the rows that are retrieved by a query
Sort the rows that are retrieved by a query

Using Single-Row Functions to Customize Output
Describe various types of functions that are available in SQL
Use character, number, and date functions in SELECT statements
Describe the use of conversion functions

Reporting Aggregated Data Using the Group Functions
Identify the available group functions
Describe the use of group functions
Group data by using the GROUP BY clause
Include or exclude grouped rows by using the HAVING clause

Displaying Data from Multiple Tables
Write SELECT statements to access data from more than one table using equijoins and nonequijoins
Join a table to itself by using a self-join
View data that generally does not meet a join condition by using outer joins
Generate a Cartesian product of all rows from two or more tables

Using Subqueries to Solve Queries
Define subqueries
Describe the types of problems that subqueries can solve
List the types of subqueries
Write single-row and multiple-row subqueries

Using the Set Operators
Describe set operators
Use a set operator to combine multiple a single query
Control the order of rows returned

Manipulating Data
Describe each data manipulation language (DML) statement
Insert rows into a table
Update rows in a table
Delete rows from a table
Control transactions

Using DDL Statements to Create and Manage Tables
Categorize the main database objects
Review the table structure
List the data types that are available for columns
Create a simple table
Explain how constraints are created at the time of table creation

Creating Other Schema Objects
Create simple and complex views
Retrieve data from views
Create, maintain, and use sequences
Create and maintain indexes
Create private and public synonyms

Managing Objects with Data Dictionary Views
Use the data dictionary views to research data on your objects
Query various data dictionary views

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
Creating function-based indexes
Drop columns and set column UNUSED
Perform FLASHBACK operations
Create and use external tables

Manipulating Large Data Sets
Manipulate data using subqueries
Describe the features of multitable INSERTs
Use the following types of multitable INSERTs (Unconditional, Conditional and Pivot)
Merge rows in a table
Track the changes to data over a period of time

Generating Reports by Grouping Related Data
Use the ROLLUP operation to produce subtotal values
Use the CUBE operation to produce crosstabulation values
Use the GROUPING function to identify the row values created by ROLLUP or CUBE
Use GROUPING SETS to produce a single result set

Managing Data in Different Time Zones
Use Various datetime functions
Retrieving Data Using Subqueries
Write a multiple-column subquery
Use scalar subqueries in SQL
Solve problems with correlated subqueries
Update and delete rows using correlated subqueries
Use the EXISTS and NOT EXISTS operators
Use the WITH clause

Hierarchical Retrieval
Interpret the concept of a hierarchical query
Create a tree-structured report
Format hierarchical data
Exclude branches from the tree structure

Regular Expression Support
Using Meta Characters
Regular Expression Functions
Replacing Patterns
Regular Expressions and Check Constraints