Oracle Database SQL and PL/SQL Course

Oracle Database 12C SQL and PL/SQL Fundamentals

Learn how to write queries against single and multiple tables, manipulate data in tables & create database objects.
This Oracle Database: SQL and PL/SQL Fundamentals training delivers the fundamentals of SQL and PL/SQL along with the benefits of the programming languages using Oracle Database technology. You’ll explore the concepts of relational databases.

Course Overivew

  • Oracle Database SQL Certified Associate and demonstrate understanding of fundamental SQL concepts needed to undertake any database project.
  • Passing the exam illustrates depth of knowledge of SQL and its use when working with the Oracle Database server.
  • Gain a working knowledge of queries , insert, update and delete SQL statements as well as some Data Definition language and Data Control Language, the optimizer, tales and indexes, data modeling and normalization.
  • By passing this exam, a certified individual proves fluency in and a solid understanding of SQL language, data modeling and using SQL to create amd manipulate tables in an Oracle Database.
  • Qualified candidates have knowledge of general computing concepts, knowledge of command line interfaces and experience working in command line.
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Course Benefits:

Module 1: Introduction

  • Overview of Oracle Database 12c and related products
  • Overview of relational database management concepts and terminologies
  • Introduction to SQL and its development environments
  • The HR schema and the tables used in this course
  • Oracle Database documentation and additional resources

Module 2: 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 using Database Clients

Module 3: 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
  • Use arithmetic expressions and NULL values in the SELECT statement
  • Invoke Column aliases
  • Concatenation operator, literal character strings, alternative quote operator, and the DISTINCT keyword
  • Display the table structure using the DESCRIBE command

Module 4: Restricted and Sorted Data

  • Write queries with a WHERE clause to limit the output retrieved
  • Describe the comparison operators and logical operators
  • Describe the rules of precedence for comparison and logical operators
  • Usage of character string literals in the WHERE clause
  • Write queries with an ORDER BY clause
  • Sort the output in descending and ascending order
  • Substitution Variables

 Module 5: Usage of Single-Row Functions to Customize Output

  • List the differences between single row and multiple row functions
  • Manipulate strings using character functions
  • Manipulate numbers with the ROUND, TRUNC, and MOD functions
  • Perform arithmetic with date data
  • Manipulate dates with the DATE functions

Module 6: Conversion Functions and Conditional Expressions

  • Describe implicit and explicit data type conversion
  • Describe the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
  • Nesting multiple functions
  • Apply the NVL, NULLIF, and COALESCE functions to data
  • Usage of conditional IF THEN ELSE logic in a SELECT statement

Module 7: Aggregated Data Using the Group Function

  • Usage of the aggregation functions in SELECT statements to produce meaningful reports
  • Describe the AVG, SUM, MIN, and MAX function
  • How to handle Null Values in a group function?
  • Divide the data in groups by using the GROUP BY clause
  • Exclude groups of date by using the HAVING clause

Module 8: Display Data From Multiple Tables

  • Write SELECT statements to access data from more than one table
  • Join Tables Using SQL:1999 Syntax
  • View data that does not meet a join condition by using outer joins
  • Join a table to itself by using a self join
  • Create Cross Joins

Module 9: Usage of Subqueries to Solve Queries

  • Use a Subquery to Solve a Problem
  • Single-Row Subqueries
  • Group Functions in a Subquery
  • Multiple-Row Subqueries
  • Use the ANY and ALL Operator in Multiple-Row Subqueries
  • Use the EXISTS Operator

Module 10: SET Operators

  • Describe the SET operators
  • Use a SET operator to combine multiple queries into a single query
  • Describe the UNION, UNION ALL, INTERSECT, and MINUS Operators
  • Use the ORDER BY Clause in Set Operations

 
Module 11: Data Manipulation

  • Add New Rows to a Table
  • Change the Data in a Table
  • Use the DELETE and TRUNCATE Statements
  • How to save and discard changes with the COMMIT and ROLLBACK statements
  • Implement Read Consistency
  • Describe the FOR UPDATE Clause

Module 12: DDL Statements to Create and Manage Tables

  • Categorize Database Objects
  • Create Tables
  • Describe the data types
  • Understand Constraints
  • Create a table using a subquery
  • How to alter a table?
  • How to drop a table?

Module 13: Other Schema Objects

  • Create, modify, and retrieve data from a view
  • Perform Data manipulation language (DML) operations on a view
  • How to drop a view?
  • Create, use, and modify a sequence
  • Create and drop indexes
  • Create and drop synonyms

 
Module 14: Introduction to PL/SQL

  • PL/SQL Overview
  • List the benefits of PL/SQL Subprograms
  • Overview of the Types of PL/SQL blocks
  • Create a Simple Anonymous Block
  • Generate the Output from a PL/SQL Block

Module 15: PL/SQL Identifiers

  • List the different Types of Identifiers in a PL/SQL subprogram
  • Usage of the Declarative Section to Define Identifiers
  • Use of variables to store data
  • Scalar Data Types
  • %TYPE Attribute
  • Bind Variables
  • Sequences in PL/SQL Expressions

 Module 16: Write Anonymous PL/SQL blocks

  • Basic PL/SQL Block Syntax Guidelines
  • How to comment code?
  • SQL Functions in PL/SQL
  • Data Type Conversion
  • Nested Blocks
  • Operators in PL/SQL

Module 17: SQL statements in PL/SQL block

  • SELECT Statements in PL/SQL to Retrieve data
  • Data Manipulation in the Server Using PL/SQL
  • The SQL Cursor concept
  • Learn to use SQL Cursor Attributes to Obtain Feedback on DML
  • How to save and discard transactions?

Module 18: Control Structures

  • Conditional processing Using IF Statements
  • Conditional processing Using CASE Statements
  • Simple Loop Statement
  • While Loop Statement
  • For Loop Statement
  • The Continue Statement

Module 19: Composite Data Types

  • PL/SQL Records
  • The %ROWTYPE Attribute
  • Insert and Update with PL/SQL Records
  • Associative Arrays (INDEX BY Tables)
  • INDEX BY Table Methods
  • INDEX BY Table of Records

Module 20: Explicit Cursors

  • Understand Explicit Cursors
  • Declare the Cursor
  • How to open the Cursor?
  • Fetching data from the Cursor
  • How to close the Cursor?
  • Cursor FOR loop
  • Explicit Cursor Attributes
  • FOR UPDATE Clause and WHERE CURRENT Clause

Module 21: Exception Handling

  • What are Exceptions?
  • Handle Exceptions with PL/SQL
  • Trap Predefined Oracle Server Errors
  • Trap Non-Predefined Oracle Server Errors
  • Trap User-Defined Exceptions
  • Propagate Exceptions
  • RAISE_APPLICATION_ERROR Procedure

 
Module 22: Stored Procedures and Functions

  • What are Stored Procedures and Functions?
  • Differentiate between anonymous blocks and subprograms
  • Create a Simple Procedure
  • Create a Simple Procedure with IN parameter
  • Create a Simple Function
  • Execute a Simple Procedure
  • Execute a Simple Function
  • Write queries against single and multiple tables, manipulate data in tables and create database objects.
  • Use single row functions to customize output.
  • Invoke conversion functions and conditional expressions.
  • Use group functions to report aggregated data.
  • Create PL/SQL blocks of application code that can be shared by multiple forms, reports and data management applications.
  • Develop anonymous PL/SQL blocks, stored procedures and functions.
  • Declare identifiers and trap exceptions.
  • Use DML statements to manage data.
  • Use DDL statements to manage database objects.
  • Declare PL/SQL Variables.
  • Conditionally control code flow (loops, control structures).
  • Describe stored procedures and functions.
  • Retrieve row and column data from tables.
  • Developer
  • Implementer
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