Course Outline
Introduction
- Comparison of Kafka with Spark, Flink, and Storm for government use cases
Overview of Kafka Streams Features
- Stateful and stateless processing, event-time processing, Domain-Specific Language (DSL), event-time based windowing operations, and more
Case Study: Kafka Streams API for Predictive Budgeting in Government Operations
Setting up the Development Environment for Government Projects
Creating a Streams Application for Government Use
Starting the Kafka Cluster for Government Applications
Preparing the Topics and Input Data for Government-Specific Needs
Options for Processing Stream Data in Government Systems
- High-level Kafka Streams DSL for streamlined development
- Lower-level Processor API for fine-grained control
Transforming the Input Data for Government Analysis
Inspecting the Output Data for Government Decision-Making
Stopping the Kafka Cluster in Government Settings
Options for Deploying the Application in Government Environments
- Classic operations tools (Puppet, Chef, and Salt) for robust deployment
- Docker containers for flexible and scalable deployment
- WAR file for web application integration
Troubleshooting Common Issues in Government Deployments
Summary and Conclusion for Government Use Cases
Requirements
- An understanding of Apache Kafka for government applications
- Experience with Java programming
Testimonials (1)
Recalling/reviewing keypoints of the topics discussed.