Mr. Balakrishna Pothineni

Modernizing Data Integration Pipelines with Event-Driven Architectures and Real-Time Streaming Technologies

Abstract:

In the era of digital transformation, organizations are increasingly moving towards real-time decision-making and operational agility. Traditional batch-oriented data integration pipelines are no longer sufficient to meet the demands of modern applications that require instant access to fresh, reliable data. This seminar explores how event-driven architectures and real-time streaming technologies are reshaping the landscape of data integration.

We delve into the transition from monolithic ETL processes to decentralized, event-based pipelines, discussing how technologies like Apache Kafka, Apache Flink, Debezium, and cloud-native tools are enabling scalable, resilient, and low-latency data flows. The talk highlights key architectural patterns such as Lambda and Kappa, and emphasizes best practices for implementing Change Data Capture (CDC), schema evolution, and real-time data quality checks.

Through real-world case studies across industries—including finance, e-commerce, and IoT—we demonstrate how organizations are leveraging these modern architectures to improve responsiveness, reduce integration complexity, and enhance data trustworthiness. Attendees will leave with a clear understanding of how to modernize legacy pipelines and design future-ready data integration systems that align with their organization’s digital strategy.