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Course Outline

Getting Started with PL/SQL

  • Defining PL/SQL and its core purpose
  • Key benefits of incorporating PL/SQL into development

Foundations of PL/SQL Block Structure

  • Understanding anonymous blocks
  • Working with named blocks

Working with Variables and Data Types

  • Proper declaration of variables
  • Syntax rules and best practices
  • Exploring data types available in PL/SQL
  • Applying variables within PL/SQL blocks

Implementing Control Structures

  • Using IF-THEN-ELSE logic
  • Employing CASE statements
  • Utilizing FOR loops
  • Utilizing WHILE loops

Developing Stored Procedures and Functions

  • Creating and executing stored procedures
  • Reviewing syntax and practical examples
  • Managing input and output parameters
  • Creating and running functions in PL/SQL
  • Reviewing syntax and practical examples
  • Integrating functions into SQL statements

Mastering Cursors

  • Using explicit cursors
  • Understanding implicit cursors
  • Fetching and processing data
  • Interpreting cursor attributes

Effective Exception Handling

  • Leveraging predefined exceptions
  • Defining custom user exceptions
  • Applying TRY-CATCH mechanisms

Managing Transaction Control

  • Controlling transactions within PL/SQL
  • Working with nested blocks and transactions
  • Managing nested transaction flows
  • Creating and utilizing savepoints

Advanced Cursor Strategies

  • Distinguishing between strong and weak REF CURSORs
  • Identifying optimal usage scenarios

Implementing Triggers

  • Building effective triggers
  • Understanding different trigger types
  • Utilizing triggers for auditing purposes

Working with PL/SQL Packages

  • Package creation basics
  • Writing specifications
  • Developing implementations
  • Executing package components
  • Invoking package methods
  • Applying concepts to real-world scenarios
  • Detailed code walkthrough

Conclusion and Future Directions

Requirements

  • Familiarity with fundamental SQL concepts
  • Working knowledge of database schemas, tables, and their relationships

Target Audience

  • Database administrators
  • Database developers
  • Software developers
  • Data analysts
 21 Hours

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