Course Overview
Course Duration: 5 Days

This Oracle Database 12c: Introduction to SQL training helps you write subqueries, combine multiple queries into a single query using SET operators and report aggregated data using group functions. Learn this and more through hands-on exercises.

Learn To:

Understand the basic concepts of relational databases ensure refined code by developers.
Create reports of sorted and restricted data.
Run data manipulation statements (DML).
Control database access to specific objects.
Manage schema objects.
Manage objects with data dictionary views.
Retrieve row and column data from tables.
Control privileges at the object and system level.
Create indexes and constraints; alter existing schema objects.
Create and query external tables.
Benefits to You

Ensure fast, reliable, secure and easy to manage performance. Optimize database workloads, lower IT costs and deliver a higher quality of service by enabling consolidation onto database clouds.

Learn Advanced Features of SQL

This course will help you understand the advanced features of SQL. Learning these features will help you query and manipulate data within the database, use the dictionary views to retrieve metadata and create reports about their schema objects. Some of the date-time functions available in the Oracle Database are also covered. This course also discusses how to use the regular expression support in SQL through expert instruction.

Use Development Tools

The main development tool used in this training is Oracle SQL Developer. SQL*Plus is available as an optional development tool. This is appropriate for a 10g, 11g and 12c audience.

Course Bundle

Note: This course is a combination of Oracle Database 12c: SQL Workshop I and Oracle Database12c: SQL Workshop II courses.

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

Course Certifications
This course is part of the following Certifications:

Data processing
Familiarity with data processing concepts and techniques

Course Objectives
Identify the major structural components of the Oracle Database 12c
Manage objects with data dictionary views
Manage schema objects
Retrieve row and column data from tables
Run data manipulation statements (DML) in Oracle Database 12c
Use scalar and correlated sub-queries
Utilize views to display data
Write SELECT statements that include queries
Write multiple-column sub-queries
Control database access to specific objects
Create reports of aggregated data
Create reports of sorted and restricted data
Create tables to store data
Display data from multiple tables using the ANSI SQL 99 JOIN syntax
Employ SQL functions to retrieve customized data

Course Content

Course Objectives, Course Agenda and Appendixes Used in this Course
Overview of Oracle Database 12c and Related Products
Overview of relational database management concepts and terminologies
Introduction to SQL and its development environments
What is Oracle SQL Developer?
Starting SQL*Plus from Oracle SQL Developer
The Human Resource (HR) Schema
Tables used in the Course
Working with Oracle Cloud Exadata Express Cloud Service

Introduction to Oracle Database Exadata Express Cloud Service
Accessing Cloud Database using SQL Workshop
Connecting to Exadata Express Database using Database Clients
Retrieving Data using the SQL SELECT Statement

Capabilities of the SELECT statement
Arithmetic expressions and NULL values in the SELECT statement
Column aliases
Use of concatenation operator, literal character strings, alternative quote operator, and the DISTINCT keyword
Use of the DESCRIBE command
Restricting and Sorting Data

Limiting the Rows
Rules of precedence for operators in an expression
Substitution Variables
Using the DEFINE and VERIFY command
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

Group Functions
Creating Groups of Data
Restricting Group Results
Displaying Data from Multiple Tables Using Joins

Introduction to JOINS
Types of Joins
Natural join
Non equijoins
OUTER join
Using Subqueries to Solve Queries

Introduction to Subqueries
Single Row Subqueries
Multiple Row Subqueries
Using the SET Operators

Set Operators
UNION and UNION ALL operator
INTERSECT operator
MINUS operator
Matching the SELECT statements
Using ORDER BY clause in set operations
Managing Tables using DML statements

Data Manipulation Language
Database Transactions
Introduction to Data Definition Language

Data Definition Language
Introduction to Data Dictionary Views

Introduction to Data Dictionary
Describe the Data Dictionary Structure
Using the Data Dictionary views
Querying the Data Dictionary Views
Creating Sequences, Synonyms, Indexes

Overview of sequences
Overview of synonyms
Overview of indexes
Creating Views

Overview of views
Managing Schema Objects

Managing constraints
Creating and using temporary tables
Creating and using external tables
Retrieving Data by Using Subqueries

Retrieving Data by Using a Subquery as Source
Working with Multiple-Column subqueries
Using Scalar subqueries in SQL
Correlated Subqueries
Working with the WITH clause
Manipulating Data by Using Subqueries

Using Subqueries to Manipulate Data
Inserting by Using a Subquery as a Target
Using the WITH CHECK OPTION Keyword on DML Statements
Using Correlated Subqueries to Update and Delete rows
Controlling User Access

System privileges
Creating a role
Object privileges
Revoking object privileges
Manipulating Data

Overview of the Explicit Default Feature
Using multitable INSERTs
Using the MERGE statement
Performing flashback operations
Tracking Changes in Data
Managing Data in Different Time Zones

Working with INTERVAL data types