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
 7 Hours

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