Introduction

Oracle GoldenGate 23ai is a real-time data integration and replication platform that enables seamless data movement across heterogeneous systems. Using its Microservices Architecture, it supports high-performance, low-latency data streaming for modern data-driven applications. It is widely used for real-time analytics, cloud migration, data warehousing, and zero-downtime database upgrades.

Learner Prerequisites

• Basic understanding of databases (Oracle or any RDBMS)
• Familiarity with SQL concepts
• Knowledge of data integration or ETL processes (preferred)
• Basic understanding of Linux/Unix commands
• Awareness of distributed systems or cloud concepts (optional but beneficial)

Table of Contents

1. Fundamentals of Real-Time Data Integration

1.1 Introduction to Real-Time Data Integration Concepts
1.2 Overview of Change Data Capture (CDC)
1.3 Batch vs Real-Time Processing
1.4 Use Cases of Real-Time Integration
1.5 Introduction to GoldenGate 23ai Architecture
1.6 Key Components: Extract, Pump, Replicat
1.7 Classic vs Microservices Architecture Overview

2. Oracle GoldenGate 23ai Architecture Deep Dive

2.1 Microservices Architecture Components
2.2 Service Manager, Administration Server, Distribution Server
2.3 Receiver Server and Performance Metrics Server
2.4 Deployment Options (On-Premises & Cloud)
2.5 Understanding Trails and Checkpoints
2.6 Data Flow and Process Architecture
2.7 Security and Authentication Mechanisms

3. Environment Setup and Configuration

3.1 Installation of GoldenGate 23ai
3.2 Creating Deployments in Microservices
3.3 Configuring Source and Target Databases
3.4 Setting up Manager and Parameter Files
3.5 Database Preparation for Replication
3.6 Initial Load vs Real-Time Replication Setup

4. Real-Time Data Replication Implementation

4.1 Configuring Extract Process
4.2 Configuring Data Pump
4.3 Configuring Replicat Process
4.4 Trail Files Management
4.5 Mapping and Transformation Basics
4.6 Filtering and Routing Data
4.7 Handling DDL and DML Replication

5. Advanced Data Integration Techniques

5.1 Data Transformation and Mapping Rules
5.2 Conflict Detection and Resolution
5.3 Bidirectional Replication Concepts
5.4 Multi-Source to Single Target Integration
5.5 Integration with Data Warehouses
5.6 Handling Large Transactions
5.7 Data Compression and Encryption

6. Monitoring and Troubleshooting

6.1 Monitoring using Web UI
6.2 Command Line Interface (Admin Client)
6.3 Log Files and Reports Analysis
6.4 Performance Tuning Techniques
6.5 Troubleshooting Common Issues
6.6 Lag Monitoring and Optimization
6.7 Alerts and Notifications Setup

7. High Availability and Scalability

7.1 Designing for High Availability
7.2 Active-Active and Active-Passive Configurations
7.3 Failover and Recovery Strategies
7.4 Load Balancing in GoldenGate
7.5 Scaling for High Volume Data
7.6 Disaster Recovery Setup

8. Integration with Modern Data Platforms

8.1 GoldenGate with Cloud Platforms
8.2 Integration with Big Data Systems
8.3 Streaming Data to Kafka and Messaging Systems
8.4 Real-Time Analytics Use Cases
8.5 Data Lake Integration Patterns

9. Security and Compliance

9.1 Data Encryption in Transit and at Rest
9.2 User Authentication and Authorization
9.3 Role-Based Access Control
9.4 Auditing and Compliance
9.5 Secure Deployment Best Practices

Conclusion

This training provides a comprehensive understanding of real-time data integration using Oracle GoldenGate 23ai. Participants will gain hands-on experience in configuring, managing, and optimizing real-time data pipelines, enabling them to build scalable, high-performance data integration solutions for modern enterprise environments.