Course of Spark: Integration with Kafka, Rabbit, and SQS

💸 First lesson available without registration 💸

The true power of Apache Spark is unlocked when you can integrate it with different messaging systems to process data in real-time.

In this course, you will learn to connect Spark with the most popular tools in the ecosystem: Kafka, RabbitMQ, and AWS SQS.

Discover how to implement scalable and efficient data flows that solve real problems in production.

Among other things, in the course we cover:

• 🎉 Introduction and local environment: Set up your workspace.
• 🚀 Kafka and Spark: Learn to integrate Kafka with Spark to handle real-time events with a production-ready setup.
• 🏗️ AWS SQS and Spark: Discover how to use Spark to process data from AWS SQS, an ideal solution for serverless architectures.
• 🐰 RabbitMQ and Spark: Master the integration with RabbitMQ and build robust and scalable data flows in distributed architectures.
• 🤏 Conclusion and next steps: Reflect on what you've learned and design your roadmap to implement Spark with messaging systems in real projects.

This course is perfect for developers who want to take the leap into real-time data processing by integrating Spark with messaging services.