About the Webinar
Transitioning from batch processing to real-time streaming is transforming how businesses handle IBMi data pipelines. By integrating Apache Kafka, organizations can enable continuous data flow, facilitating real-time analytics and decision-making. This shift enhances operational efficiency, reduces latency, and supports modern, scalable architectures that respond dynamically to business needs, reimagining the potential of IBMi data for the digital age.
In this session we will learn the differences between Batch Processing and Real Time Data Streaming in IBMi. We will showcase how can we configure data pipeline in Apache Kafka for event streaming in real-time.
