Distributed systems for stream processing: Apache Kafka and Spark Streaming / O'Reilly Velocity

Everything is a data source. Today’s online activities, financial operations, IoT devices, and sensors generate data at an ever-increasing rate, so your architecture for ingesting these incoming influxes of data needs to be flexible, scalable, fast, and resilient.

Alena Hall walks you through using distributed systems like Apache Kafka and Spark Streaming. You’ll learn how to set up your infrastructure and build a distributed streaming architecture on Azure using open source frameworks like Apache Kafka and Spark Streaming and then use these distributed systems to process data coming from multiple sources in real time, perform machine learning tasks, and learn how to be effective interactively experimenting with streams using code.

Видео Distributed systems for stream processing: Apache Kafka and Spark Streaming / O'Reilly Velocity канала AI with Lena Hall & Droid AI