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Kafka

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May 1, 2024 Updated May 11, 2025 19 minute read
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Navigating the World of Apache Kafka: A Comprehensive Guide

Apache Kafka is a distributed event streaming platform capable of handling trillions of events a day. Originally developed by LinkedIn and later open-sourced as an Apache Software Foundation project, Kafka has become a cornerstone technology for building real-time data pipelines and streaming applications. It allows applications to publish and subscribe to streams of records, store these streams in a fault-tolerant way, and process them in real time. This makes Kafka a powerful tool for a wide range of use cases, from tracking website activity and aggregating logs to processing financial transactions and powering real-time analytics.

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Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Kafka.
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Kafka: The Definitive Guide
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Provides a deep dive into the internals of Apache Kafka, including its architecture, data structures, and algorithms. It's a great resource for anyone who wants to understand how Kafka works under the hood.
Kafka: The Definitive Guide: Real-Time Data and...
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Data-intensive Text Processing with MapReduce
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Provides a comprehensive overview of Apache Kafka, covering everything from its architecture and data model to its APIs and internals. It's a must-read for anyone who wants to understand Kafka in depth.
Data-Intensive Text Processing with MapReduce...
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Advanced Analytics with Spark
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Provides a gentle introduction to Apache Kafka, making it ideal for beginners. It covers the fundamentals of Kafka, including its architecture, data model, and basic operations. It also includes hands-on examples that help you get started with Kafka.
Advanced Analytics with Spark
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Advanced Analytics with Spark
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Kafka Streams in Action
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Provides a gentle introduction to Apache Kafka Streams, making it ideal for beginners. It covers the fundamentals of Kafka Streams, including its architecture, data model, and basic operations. It also includes hands-on examples that help you get started with Kafka Streams.
Kafka Streams in Action, Second Edition: Event...
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Kafka Streams in Action: Real-time apps and...
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Kafka Streams in Action, Second Edition
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Kafka Streams in Action: Real-time apps and...
Kindle Edition
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