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Course Outline
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
Requirements
- An understanding of Apache Kafka
- Java programming experience
7 Hours
Delivery Options
Private Group Training
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- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £1900 online delivery, based on a group of 2 delegates, £600 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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Testimonials (1)
Recalling/reviewing keypoints of the topics discussed.
