Apache Kafka is a distributed streaming platform designed to handle real-time data streaming and processing in a distributed and fault-tolerant manner. This course can be taken by software developers and data engineers wanting to learn Kafka to build data-intensive applications.
You will begin with an introduction to the Kafka architecture, client libraries, and its project ecosystem. Next, you will learn to use the Kafka Client APIs along with key configurations. Then, you will learn to develop stream processing applications using Kafka Streams. You will also explore the Kafka Connect Source and Sink connectors. You will finish by learning to make Kafka-related projects in addition to the core ecosystem.
After completing this course, you will be comfortable with developing data-intensive applications. The course will prove helpful for anyone who wants to learn Kafka using a practical, hands-on approach for building real-time data streaming, event-driven architecture, microservices, and log aggregation.
Apache Kafka is a distributed streaming platform designed to handle real-time data streaming and processing in a distributed and...Show More
WHAT YOU'LL LEARN
Hands-on experience developing applications using Kafka
Working knowledge of building stream processing applications
The ability to work with data pipelines
An understanding of open-source tools in the Kafka ecosystem
Hands-on experience developing applications using Kafka
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Content
1.
Introduction
5 Lessons
Get familiar with real-time data streaming, Kafka architecture, and client libraries.
2.
Apache Kafka Producer API
3 Lessons
Unpack the core of using Kafka's Producer API for efficient and reliable message production.
3.
Apache Kafka Consumer API
4 Lessons
Go hands-on with efficiently reading, processing, and managing Kafka messages using the Consumer API.
4.
Kafka Streams
9 Lessons
Apply your skills to develop scalable, real-time, fault-tolerant streaming applications with Kafka Streams.
5.
Kafka Connect
5 Lessons
Dig into Kafka Connect's integration capabilities, source and sink connectors, and data transformations.
6.
Exploring Projects in the Kafka Ecosystem
6 Lessons
Investigate key tools and frameworks enhancing Kafka’s integration, schema management, and data replication.
7.
Wrap Up
1 Lessons
Utilize Kafka for data solutions with producer, consumer APIs, streams, and Kafka Connect.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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