課程大綱： Stream Processing with Kafka Streams培訓(xùn)
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
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