Oracle Database: Introduction to SQL Ed 1.1

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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. Students will 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; and Create and query external tables.You will be able to 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.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.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.

Target Audience: 

Data Warehouse AdministratorDeveloperApplication DevelopersPL/SQL DeveloperForms DeveloperSystem AnalystsBusiness Analysts


- 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

Introduction - 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 CourseRetrieving 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 commandRestricting and Sorting Data - Limiting the Rows - Rules of precedence for operators in an expression - Substitution Variables - Using the DEFINE and VERIFY commandUsing 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 functionsUsing 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 statementReporting Aggregated Data Using the Group Functions - Group Functions - Creating Groups of Data - Restricting Group ResultsDisplaying Data from Multiple Tables Using Joins - Introduction to JOINS - Types of Joins - Natural join - Self-join - Non equijoins - OUTER joinUsing Subqueries to Solve Queries - Introduction to Subqueries - Single Row Subqueries - Multiple Row SubqueriesUsing the SET Operators - Set Operators - UNION and UNION ALL operator - INTERSECT operator - MINUS operator - Matching the SELECT statements - Using ORDER BY clause in set operationsManaging Tables using DML statements - Data Manipulation Language - Database TransactionsIntroduction to Data Definition Language - Data Definition LanguageIntroduction 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, IndexesOverview of sequences - Overview of synonyms - Overview of indexesCreating Views - Overview of viewsManaging Schema Objects - Managing constraints - Creating and using temporary tables - Creating and using external tablesRetrieving 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 clauseManipulating 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 rowsControlling User Access - System privileges - Creating a role - Object privileges - Revoking object privilegesManipulating Data - Overview of the Explicit Default Feature - Using multitable INSERTs - Using the MERGE statement - Performing flashback operations - Tracking Changes in DataManaging Data in Different Time Zones - Working with CURRENT_DATE, CURRENT_TIMESTAMP,and LOCALTIMESTAMP - Working with INTERVAL data types