IBM i Core Banking Data Replication Pipeline

About The Client

A leading full-service banking operation with a network of over 80 branches across 18 provinces, providing a wide range of financial services to customers. The bank relies on its IBM i core banking platform and sought a modern solution to unlock real-time data for analytics, fraud detection, and AI initiatives.

  • Industry: Financial Services
  • Headquartered: USA
  • Platforms: Kafka, InfoCDC, IBM i (AS400)
  • Team Size: Multinational
the_client
 

The Challenge

The customer leveraged a legacy IBM i–based core banking application along with several other services and databases to support critical business functions. Due to emerging business needs, the development and IT leadership required a solution to make data from both IBM i and other sources available in real time for use cases such as fraud detection, data analytics, AI, and more.

With tight deadlines and a thinly stretched in-house team, the customer urgently needed assistance from a vendor with strong expertise in legacy modernization and system integration to implement a scalable, high-performance data pipeline.

 

Our Solution

Designed and implemented a real-time data replication pipeline to connect the legacy IBM i core banking system with modern analytics and AI platforms.

The Solution

Modern Integration

Leveraged InfoConnect products and Kafka middleware to enable real-time data replication.

The Solution

Replication Pipeline

Established a pipeline for a pre-selected set of DB2 tables, providing reliable real-time data access.

The Solution

Connector Configuration

Configured Kafka Connectors to integrate IBM i systems with downstream applications.

Technologies Used

Our software architects and engineers are experts in using the latest technologies.

  • infoCDC
    infoCDC
  • Kafka Platform
    Kafka Platform
  • B2B platforms
    B2B platforms
 

Business Impact

Our solution added value with surprising results because we were able to deliver a high-quality product on time.

Here’s how we did it

  • High-Performance Data Pipeline

    Delivered a real-time IBM i DB2 to Kafka replication pipeline capable of streaming over 1,000 records per second.

  • Stable & Scalable Environments

    Implemented fully functional test and production environments to ensure system reliability and scalability.

  • Flexible Event-Driven Architecture

    Designed a framework that can adapt to evolving business needs with minimal disruption to existing IBM i systems.

  • Enhanced Analytics & AI

    Modernized data infrastructure enabled advanced analytics, AI, and fraud detection, improving operational agility.

  • Knowledge Transfer & Testing

    Provided comprehensive knowledge transfer and end-to-end solution testing to ensure smooth adoption and informed decision-making

we-did-it

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