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Course Outline

Introduction to PL/SQL

  • Defining PL/SQL and its role in Oracle
  • Key benefits of adopting PL/SQL over standard SQL

Foundational PL/SQL Block Architecture

  • Working with anonymous blocks
  • Structuring named blocks

Variables and Data Type Management

  • Rules for variable declaration
  • Adhering to syntax conventions
  • Overview of supported PL/SQL data types
  • Integrating variables into PL/SQL logic

Control Flow Mechanisms

  • Conditional logic using IF-THEN-ELSE
  • Multi-branch decisions with CASE statements
  • Iterative processing with FOR loops
  • Conditional iteration with WHILE loops

Developing Stored Procedures and Functions

  • Authoring and executing stored procedures
  • Applying correct syntax and practical examples
  • Managing input and output parameters
  • Creating and invoking functions within PL/SQL
  • Illustrative syntax and code samples
  • Embedding functions in SQL queries

Cursor Implementation and Management

  • Defining explicit cursors
  • Leveraging implicit cursors
  • Techniques for data fetching
  • Utilizing cursor attributes for diagnostics

Robust Exception Handling

  • Managing system-defined exceptions
  • Creating custom user-defined exceptions
  • Implementing error handling blocks

Transaction Management Strategies

  • Controlling transactions within PL/SQL
  • Utilizing nested blocks for isolation
  • Managing complex nested transactions
  • Implementing savepoints for partial rollbacks

Advanced Cursor Patterns

  • Distinguishing between strong and weak REF CURSORS
  • Identifying appropriate usage scenarios

Trigger Development

  • Process for creating triggers
  • Categorizing different trigger types
  • Applying triggers for audit logging

Modularization with PL/SQL Packages

  • Package creation workflow
  • Writing package specifications
  • Implementing package bodies
  • Execution mechanics
  • Procedures for invocation
  • Application in real-world scenarios
  • Step-by-step code analysis

Conclusions and Future Pathways

Requirements

  • Fundamental knowledge of SQL syntax and concepts
  • Proficiency in understanding database schemas, table structures, and inter-table relationships

Target Audience

  • Database Administrators (DBAs)
  • Database Developers
  • Software Engineers
  • Data Analysts
 21 Hours

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