Apache Kafka Quick Start Guide
Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
Created by Raúl Estrada
Explore how Apache Kafka can help you build efficient real-time data pipelines for distributed applications. You'll focus on programming with Kafka, working hands-on with messaging, streaming, and schema management. By the end, you'll know how to tackle common challenges in fast data processing with practical solutions.
Packt | Dec 2018 | 186 min
What You Will Learn
You'll start by setting up your development environment and quickly move into hands-on programming tasks. Each section guides you through practical messaging operations, data transformations, and stream processing. You'll use real examples to learn how to handle schemas, connectors, and advanced streaming concepts like windowing and aggregations.
Key Features
- Build and manage real-time data pipelines using Apache Kafka APIs and Kafka Streams
- Transform and validate data in multiple formats including JSON, XML, and AVRO
- Work with Schema Registry, Kafka Connect, and KSQL for advanced stream processing
Target Audience
Ideal for developers with some experience in Java or JVM languages who want to master Apache Kafka for real-time data processing. If you're looking to solve practical problems in distributed applications and want to focus on programming rather than configuration or DevOps, you'll find this course especially useful.
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