Introduction

Oracle GoldenGate 23ai is a real-time data integration and replication solution. It moves data across different systems. Moreover, it supports both on-premises and cloud environments. The Microservices Architecture provides a modern and scalable framework. It uses REST APIs and a web-based UI. Therefore, management becomes easier and faster. In addition, it supports zero-downtime migration and real-time analytics. As a result, organizations can ensure continuous data availability.

Learner Prerequisites

Basic understanding of databases (preferably Oracle Database)
Familiarity with SQL and database concepts
Knowledge of Linux/Unix commands
Basic understanding of networking concepts
Additionally, prior exposure to ETL or data integration tools is helpful

Table of Contents

1. Introduction to Oracle GoldenGate 23ai Microservices

1.1 Overview of Data Replication Concepts
1.2 Evolution from Classic to Microservices Architecture
1.3 Key Features of GoldenGate 23ai
1.4 GoldenGate Architecture Components
1.5 Use Cases for Real-Time Data Replication

2. GoldenGate Microservices Architecture Deep Dive

2.1 Service Manager and Architecture Overview
2.2 Administration Server and Distribution Server
2.3 Receiver Server and Performance Metrics Server
2.4 Web UI and REST API Management
2.5 Deployment Models (On-Premises & Cloud)

3. Installation and Configuration of Oracle GoldenGate 23ai

3.1 Environment and System Requirements
3.2 Installing GoldenGate 23ai Microservices
3.3 Creating and Managing Deployments
3.4 Configuring Services and Ports
3.5 Securing the GoldenGate Environment

4. Source and Target Database Configuration for Data Replication

4.1 Preparing Source Database for Replication
4.2 Enabling Supplemental Logging
4.3 Configuring Target Database
4.4 User Roles and Privileges Setup
4.5 Initial Load vs Change Data Capture

5. Extract Process Configuration in GoldenGate 23ai

5.1 Types of Extract (Integrated & Classic)
5.2 Creating and Managing Extract Processes
5.3 Configuring Parameter Files
5.4 Log Mining and Trail Files
5.5 Monitoring Extract Performance

6. Data Pump and Trail File Management

6.1 Understanding Data Pump Concept
6.2 Configuring Data Pump Processes
6.3 Trail File Structure and Management
6.4 Data Routing and Compression
6.5 Troubleshooting Data Flow Issues

7. Replicat Process Configuration for Real-Time Replication

7.1 Types of Replicat (Integrated, Parallel, Coordinated)
7.2 Creating and Managing Replicat Processes
7.3 Mapping and Transformation Techniques
7.4 Conflict Detection and Resolution
7.5 Performance Optimization for Replicat

8. End-to-End Data Replication Setup using Oracle GoldenGate 23ai

8.1 Designing Replication Topology
8.2 Configuring End-to-End Data Flow
8.3 Testing and Validating Replication
8.4 Handling Schema Changes (DDL Replication)
8.5 Ensuring Data Consistency

9. Monitoring and Management in GoldenGate Microservices

9.1 Using GoldenGate Web UI Dashboard
9.2 Monitoring Lag and Throughput
9.3 Alerts and Notifications Setup
9.4 Log Analysis and Reporting
9.5 Performance Tuning Techniques

10. High Availability and Disaster Recovery with GoldenGate 23ai

10.1 Active-Active and Active-Passive Configurations
10.2 Failover and Switchover Strategies
10.3 Backup and Recovery Planning
10.4 Zero-Downtime Migration Strategies
10.5 Best Practices for HA Setup

11. Security and Compliance in GoldenGate Microservices

11.1 Authentication and Authorization
11.2 Encryption (Data in Transit & At Rest)
11.3 Securing REST APIs
11.4 Auditing and Compliance Measures
11.5 Role-Based Access Control

12. Advanced Features and Use Cases of Oracle GoldenGate 23ai

12.1 Bidirectional Replication
12.2 Data Transformation and Filtering
12.3 Integration with Cloud Platforms
12.4 Real-Time Analytics Enablement
12.5 Big Data and Streaming Integrations

13. Troubleshooting and Best Practices

13.1 Common Errors and Resolution Techniques
13.2 Debugging Replication Issues
13.3 Performance Bottleneck Analysis
13.4 Tuning Guidelines
13.5 Deployment Best Practices

Conclusion

This training covers end-to-end data replication using Oracle GoldenGate 23ai Microservices. It helps learners design solutions. Moreover, it improves monitoring and tuning skills. Therefore, professionals can manage real-time data integration effectively.