  Stream Processing with Kafka Streams培訓

Introduction

Kafka vs Spark, Flink, and Storm
Overview of Kafka Streams Features

Stateful and stateless processing, event-time processing, DSL, event-time based windowing operations, etc.
Case Study: Kafka Streams API for Predictive Budgeting

Setting up the Development Environment

Creating a Streams Application

Starting the Kafka Cluster

Preparing the Topics and Input Data

Options for Processing Stream Data

High-level Kafka Streams DSL
Lower-level Processor
Transforming the Input Data

Inspecting the Output Data

Stopping the Kafka Cluster

Options for Deploying the Application

Classic ops tools (Puppet, Chef and Salt)
Docker
WAR file
Troubleshooting

Summary and Conclusion