Using Kafka-Streams, K8s, and Cassandra for Near Real-Time Retail Inventory

Using Kafka-Streams, K8s, and Cassandra for Near Real-Time Retail Inventory

Learn how to leverage the power of big data scalable streaming processing with Kafka-Streams, K8s, and Cassandra to build a near-real-time retail inventory management system.

This presentation will go through multiple options for designing a streaming data processing pipeline, comparing Spark Structured Streaming with Kafka-Streaming, presenting some advantages and disadvantages discovered along the way, and also some helpful tips & tricks.

We will also see how we can use K8s and a NoSQL database like Cassandra to scale the pipeline efficiently.