OC12CISQL – Oracle Database 12c: Introduction to SQL

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  • Code: OC12CISQL
  • Duration: Days 5
  • Price per delegate: £2,725 +VAT

Trained over 60000 delegates

Course delivered by industry expert instructors

Highly competitive pricing


Please note that Oracle courses running at London training centres are subject to a 10_CS_ surcharge.

Course Description:

This Oracle Database: 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.

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 and 11g audience.

Please note: This course is a combination of Oracle Database: SQL Workshop I and Oracle Database: SQL Workshop II courses.


    Data processing
    Familiarity with data processing concepts and techniques

Performance Based Objectives:

At the end of this course you will be able to:

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

Course Content:

Introduction to Oracle Database

    List the features of Oracle Database 12c
    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 on to the database using SQL Developer environment
    Save queries to files and use script files in SQL Developer

Retrieve 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

Learn to Restrict and Sort 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 to sort the output of a SELECT statement
    Sort output in descending and ascending order

Usage of 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

Invoke 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

Aggregate Data Using the Group Functions

    Use the aggregation functions to produce meaningful reports
    Divide the retrieved data in groups by using the GROUP BY clause
    Exclude groups of data by using the HAVING clause

Display Data From Multiple Tables Using Joins

    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 to itself by using a self join

Use 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

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

Data Manipulation Statements

    Describe each DML statement
    Insert rows into a table
    Change rows in a table by the UPDATE statement
    Delete rows from a table with the DELETE statement
    Save and discard changes with the COMMIT and ROLLBACK statements
    Explain read consistency

Use of 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

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

Control User Access

    Differentiate system privileges from object privileges
    Create Users
    Grant System Privileges
    Create and Grant Privileges to a Role
    Change Your Password
    Grant Object Privileges
    How to pass on privileges?
    Revoke Object Privileges

Management of Schema Objects

    Add, Modify, and Drop a Column
    Add, Drop, and Defer a Constraint
    How to enable and Disable a Constraint?
    Create and Remove Indexes
    Create a Function-Based Index
    Perform Flashback Operations
    Create an External Table by Using ORACLE_LOADER and by Using ORACLE_DATAPUMP
    Query External Tables

Manage Objects with Data Dictionary Views

    Explain the data dictionary
    Use the Dictionary Views
    Table and Column Information
    Query the dictionary views for constraint information
    Query the dictionary views for view, sequence, index and synonym information
    Add a comment to a table
    Query the dictionary views for comment information

Manipulate Large Data Sets

    Use Subqueries to Manipulate Data
    Retrieve Data Using a Subquery as Source
    Insert Using a Subquery as a Target
    Usage of the WITH CHECK OPTION Keyword on DML Statements
    List the types of Multitable INSERT Statements
    Use Multitable INSERT Statements
    Merge rows in a table
    Track Changes in Data over a period of time

Data Management in different Time Zones

    Time Zones
    Compare Date and Time in a Session's Time Zone
    Difference between DATE and TIMESTAMP
    INTERVAL Data Types

Retrieve Data Using Sub-queries

    Multiple-Column Subqueries
    Pairwise and Nonpairwise Comparison
    Scalar Subquery Expressions
    Solve problems with Correlated Subqueries
    Update and Delete Rows Using Correlated Subqueries
    The EXISTS and NOT EXISTS operators
    Invoke the WITH clause
    The Recursive WITH clause