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</center><p>This guide will teach you how to maintain your Kafka  Kafka is a distributed, partitioned, replicated commit log service. Explore how Apache Kafka and CDC (change data capture) support critical database transaction use cases and how to implement these in real-time streaming solutions. It provides the functionality of a messaging system, but with a unique design. What does all that mean? This guide will teach you how to maintain your Kafka cluster for maximum efficiency and easily connect it to your big data processing systems such as Hadoop or Apache Storm for quick processing Apache Kafka® Transaction Data Streaming for Dummies. The guide helps architects Apache Kafka is a fault-tolerant persistent queuing system, which enables you to process large amount of data in real time. Learn more about: Kafka basics; Transaction streaming; CDC with Kafka; Stream processing benefits What’s in the book? Learn the basics, get started, and uncover advanced features and real-world applications of this powerful event-streaming platform This comprehensive guide gives Kafka beginners a practical introduction to the de facto, open-source engine for handling real-time data streams. First let's developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform This comprehensive guide gives Kafka beginners a practical introduction to the de facto, open-source engine for handling real-time data streams. As you explore Kafka patterns,  Apache Kafka is a fault-tolerant persistent queuing system, which enables you to process large amount of data in real time. developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform Explore Apache Kafka with our beginner's guide. As you explore Kafka patterns, and detailed examples, you’ll learn how to write reliable, event-driven microservices and build real-time apps and data pipelines.</p></translate>
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|Type=Technique
|Difficulty=Easy
|Duration=256
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|Cost=984
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