This course provides hands-on experience with Apache Kafka both from the command line and through programmatic access using Java. Attendees will get a full appreciation of publish/subscribe idiom for asynchronous communication. The course producers and consumers and reliable data delivery. Attendees will get a full appreciation of how to build data pipelines and how they can process streaming data.
Kafka is an event streaming platform. Businesses and organizations often must capture data in real-time from event sources like databases, sensors, mobile devices, cloud services, social media, and software applications in the form of streams of events. They need to store these event streams durably for later retrieval. They also need to manipulate, process, and react to the event streams in real-time as well as retrospectively. The event streams need be made available to different destination technologies as needed. Kafka’s event streaming implementation ensures a continuous flow and interpretation of data so that the right information is at the right place, at the right time.
Java to the level of Introduction to Java Programming Training.
Anyone developing Java or Python applications who has core Java SE or Python skills and wishes to capitalize on the addition of Kafka to program in the publish/subscribe idiom and manage fast, streaming data.
4thdacad Exam included at the end of class.
Installing a developer Kafka broker
Creating a Kafka producer
Creating a Kafka consumer
Configuring reliable data delivery
Process streaming data
Apache Kafka: Hands-On Training Delivery Methods
After-course instructor coaching included
4thdacad end-of-course exam included
Apache Kafka: Hands-On Training Course Benefits
Install a Kafka broker for developmentWrite Kafka producers and consumersLeverage Kafka features for reliable data deliveryBuild Kafka data pipelinesReceive and process streaming data using Kafka
Apache Kafka: Hands-On Training Outline
Day 1
Chapter 1: Apache Kafka (42 slides)
Publish/Subscribe Messaging
Apache Kafka
Installing Kafka
Hands-On Exercise 1.1: Installing Kafka
Chapter 2: Producers and Consumers (51 slides)
Constructing a Kafka producer
Synchronous and asynchronous messages
Configuring producers
Serializers and partitions
Hands-On Exercise 2.1 Creating a Kafka producer
Consumers and consumer groups
Creating a Kafka consumer
Subscribing to Kafka topics
Consuming messages
Deserializers
Hands-On Exercise 2.2: Creating a Kafka producer
Day 2
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