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Course Outline

Introduction to Oracle Database 23ai

  • Key enhancements and an overview of Oracle Database 23ai
  • The role of AI in driving database automation
  • Deployment options across Oracle Cloud and on-premise environments

Installation and Configuration

  • Reviewing system requirements and pre-installation preparation
  • Installing Oracle Database 23ai on Linux and Windows platforms
  • Creating databases using Oracle DBCA

Managing Database Storage

  • Managing tablespaces and datafiles
  • Leveraging Automatic Storage Management (ASM)
  • Handling Undo Data and Redo Logs

User and Security Management

  • Creation and administration of user accounts
  • Implementing roles and privilege controls
  • Strengthening security through encryption and auditing mechanisms

AI-Driven Performance Optimization

  • Leveraging Oracle’s AI-driven automation for performance tuning
  • Utilizing Automatic Workload Repository (AWR) and SQL Tuning Advisor
  • Optimizing query efficiency with AI-powered indexing

Backup and Recovery Strategies

  • Core concepts of Oracle Recovery Manager (RMAN)
  • Executing full and incremental backup procedures
  • Best practices for database restoration and disaster recovery

Monitoring and Troubleshooting

  • Employing Oracle Enterprise Manager for system monitoring
  • Identifying and resolving performance bottlenecks
  • Managing database errors and data corruption issues

Advanced Administration and High Availability

  • Configuring Oracle Data Guard for seamless failover
  • Utilizing Oracle GoldenGate for real-time data replication
  • Implementing multi-tenancy for efficient database consolidation

Summary and Next Steps

Requirements

  • A solid grasp of relational database fundamentals
  • Familiarity with SQL and PL/SQL programming
  • Proficiency in operating system commands, specifically on Linux or Windows

Target Audience

  • Database administrators
  • IT professionals responsible for Oracle database management
  • System administrators overseeing database infrastructure
 35 Hours

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