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Course Outline

Introduction

Advanced Data Structures and Collections

  • Leveraging subtypes to define specialized data representations
  • Deploying cursor variables and dynamic cursors to facilitate adaptable data retrieval
  • Managing complex datasets using associative arrays and collection types
  • Executing high-volume data operations via BULK COLLECT and FORALL statements
  • Effectively managing exceptions during bulk processing workflows

Object-Oriented Capabilities in Oracle Databases

  • Defining object types and associated methods to model complex entities
  • Establishing persistent collections for durable data storage requirements
  • Developing table functions to support advanced data manipulation tasks
  • Implementing streaming functions to enable real-time data processing capabilities
  • Designing custom aggregate functions to extend standard SQL functionality

Advanced Function Implementation in SQL

  • Integrating PL/SQL functions within SQL query statements
  • Evaluating purity levels, determinism, and constraints critical for robust function design

Structuring PL/SQL Program Units

  • Administering permissions and security controls within PL/SQL environments
  • Applying naming contexts to prevent identifier conflicts in large-scale applications

Interfacing PL/SQL with External Languages

  • Integrating Java methods into PL/SQL application logic
  • Connecting C language procedures to support performance-intensive operations
  • Utilizing native compilation techniques to improve execution efficiency

Pre-Built Solutions and Security Controls

  • Establishing application contexts to store session-specific metadata
  • Deploying Virtual Private Database (VPD) mechanisms for granular access control for government applications
  • Managing user sessions and context variables effectively
  • Profiling and tracing PL/SQL code to identify and resolve performance bottlenecks

Optimizing PL/SQL Performance

  • Utilizing bind variables in SQL statements to improve execution plan stability
  • Analyzing cursor sharing strategies and their impact on system performance
  • Applying query optimization techniques to ensure efficient data retrieval
  • Configuring compilation settings to maximize operational efficiency
  • Implementing caching strategies for functions and query results to reduce latency

Mitigating SQL Injection Risks

  • Adhering to established best practices to protect PL/SQL code from injection vulnerabilities

Summary and Next Steps

Requirements

  • Advanced skills in SQL and comprehensive knowledge of the Oracle database infrastructure
  • Thorough grasp of fundamental PL/SQL principles, including documented experience in developing PL/SQL scripts

Target Audience

  • Software engineers
  • PL/SQL specialists
 21 Hours

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