Change Data Capture and Real-Time Data Integration Training Course

 Change Data Capture and Real-Time Data Integration Training Course 

Introduction 

Change Data Capture and Real-Time Data Integration Training Course provides comprehensive practical knowledge and technical skills for designing, implementing, and managing modern data integration architectures. The course explores Change Data Capture (CDC), real-time data replication, event-driven architecture, streaming data pipelines, database synchronization, and distributed data processing. Participants gain expertise in capturing database changes, processing incremental updates, and transferring data across heterogeneous systems with minimal latency. The programme covers industry technologies such as Apache Kafka, Debezium, Apache Flink, SQL Server, PostgreSQL, MySQL, and cloud-based data integration platforms to support modern enterprise data engineering requirements. 

The training also examines real-time analytics, data consistency, transaction log processing, data governance, integration security, and scalable enterprise data architecture. Participants explore practical approaches to eliminating batch-processing limitations, improving operational intelligence, and enabling reliable data exchange across hybrid and cloud environments. Through hands-on exercises and global industry case studies, learners develop competencies in building fault-tolerant CDC pipelines, managing streaming workloads, monitoring data quality, and implementing high-performance integration solutions that support digital transformation, financial services, telecommunications, healthcare, e-commerce, and other data-intensive industries. 

Course Objectives 

By the end of this course, participants should be able to: 

1. Understand Change Data Capture principles and real-time integration architectures.
2. Design scalable CDC pipelines for enterprise data environments.
3. Implement database log-based change tracking.
4. Configure Apache Kafka and Debezium integration frameworks.
5. Develop real-time data replication and synchronization solutions.
6. Apply event-driven architecture and streaming data processing.
7. Integrate heterogeneous databases and cloud platforms.
8. Manage data consistency, integrity, and synchronization.
9. Implement real-time data transformation and validation.
10. Apply data governance, privacy, and integration security.
11. Monitor CDC pipelines and troubleshoot integration failures.
12. Optimize streaming performance and reduce data latency.
13. Develop enterprise-ready real-time data integration strategies.

Organizational Benefits
 

1. Improved enterprise data accessibility and availability.
2. Reduced operational costs associated with batch processing.
3. Faster business intelligence and decision-making.
4. Improved database synchronization and consistency.
5. Enhanced operational efficiency through automation.
6. Reduced data duplication and integration errors.
7. Improved regulatory compliance and data governance.
8. Scalable enterprise data infrastructure.
9. Enhanced customer experience through real-time insights.
10. Improved digital transformation and competitive advantage.

Target Audiences
 

1. Data engineers and database administrators.
2. Business intelligence and analytics professionals.
3. Software developers and application architects.
4. Data integration and ETL specialists.
5. Cloud computing and DevOps engineers.
6. Enterprise IT managers and technical consultants.
7. Data architects and system administrators.
8. Technology professionals and digital transformation specialists.

Course Duration: 5 days

Course Modules

Module 1: Introduction to Change Data Capture and Real-Time Integration
 

• Fundamentals of Change Data Capture and incremental data processing.
• CDC architecture, components, and implementation approaches.
• Differences between batch processing and real-time integration.
• Database transaction logs, event streams, and change tracking.
• CDC applications in banking and financial services.
• Case study: Real-time transaction monitoring in global banking institutions.

Module 2: CDC Technologies and Implementation Frameworks
 

• Introduction to log-based, trigger-based, and query-based CDC.
• Implementing CDC using PostgreSQL and MySQL.
• SQL Server Change Data Capture and Change Tracking.
• Database transaction log extraction and processing.
• Case study: Enterprise database replication in multinational organizations.
• Practical configuration of CDC pipelines across heterogeneous databases.

Module 3: Apache Kafka and Debezium Integration
 

• Apache Kafka architecture and distributed event streaming.
• Debezium connectors and database change event capture.
• Kafka topics, partitions, producers, and consumers.
• Configuring Kafka Connect for real-time integration.
• Case study: Netflix-inspired event-driven data integration architecture.
• Building real-time CDC pipelines using Kafka and Debezium.

Module 4: Real-Time Data Transformation and Processing
 

• Stream processing fundamentals and event transformation.
• Data serialization using JSON, Avro, and Protobuf.
• Event filtering, enrichment, and routing techniques.
• Real-time processing using Apache Flink.
• Case study: Uber-style real-time operational data processing.
• Implementing scalable streaming transformation workflows.

Module 5: Database Synchronization and Cloud Integration
 

• Real-time database replication and synchronization strategies.
• Integrating relational and NoSQL databases.
• Cloud-based CDC using Amazon Web Services and Microsoft Azure.
• Managing schema evolution and data consistency.
• Case study: Global e-commerce inventory synchronization.
• Implementing hybrid and multi-cloud data integration solutions.

Module 6: Data Quality, Security, and Governance
 

• Real-time data validation and integrity management.
• Data encryption, authentication, and access control.
• Personally identifiable information protection.
• Data governance, lineage, and regulatory compliance.
• Case study: Healthcare data integration and patient information protection.
• Implementing secure enterprise CDC governance frameworks.

Module 7: Monitoring, Troubleshooting, and Performance Optimization
 

• CDC pipeline monitoring and operational observability.
• Managing latency, throughput, and processing bottlenecks.
• Error handling, retries, and fault-tolerant architecture.
• Pipeline recovery and disaster recovery strategies.
• Case study: Financial transaction streaming reliability.
• Performance tuning and automated pipeline monitoring.

Module 8: Enterprise CDC Architecture and Capstone Implementation
 

• Designing enterprise-scale real-time integration architectures.
• Implementing end-to-end CDC data pipelines.
• Integrating operational databases with analytical platforms.
• Evaluating scalability, reliability, and implementation costs.
• Case study: Walmart-style real-time retail data integration.
• Capstone project: Developing and presenting an enterprise CDC solution.

Training Methodology
 

• Instructor-led presentations and interactive technical discussions.
• Practical demonstrations using industry-standard CDC technologies.
• Hands-on database integration and configuration exercises.
• Real-world enterprise case studies and group assignments.
• Collaborative projects and technical problem-solving sessions.
• Capstone implementation, assessment, and participant presentations.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.
 
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
 
c. Course duration is flexible and the contents can be modified to fit any number of days.
 
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
 
e. One-year post-training support Consultation and Coaching provided after the course.
 
f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.