Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about stream data processing through this conference talk that demonstrates how to implement a Kubernetes-native framework for efficient data handling. Explore the development journey of an open-source solution designed to address common challenges in stream processing and data analytics. Discover methods for creating cost-efficient and resilient systems that can withstand Kubernetes pod restarts and node upgrades. Master techniques for executing large-scale stream processing tasks without relying on resource-intensive data processing platforms. Gain insights into declarative approaches that simplify real-time data processing for data engineers, platform engineers, and DevOps professionals, making complex stream processing more accessible and manageable.