Explore how to construct a streaming analytics stack using Kafka and Druid in this 41-minute conference talk from the Linux Foundation. Learn about the challenges of batch processing systems and discover how combining Kafka and Druid can create a robust data pipeline supporting real-time and batch ingestion with flexible, low-latency queries. Delve into topics such as event handling, data delivery problems, stream processing challenges, and approximation algorithms. Gain insights into Druid's architecture and understand how this open-source technology combination can guarantee system availability, maintain data integrity, and support fast, flexible queries for deriving insights from vast quantities of data.