Kafka: The Definitive Guide - Real-Time Data and Stream Processing at Scale

by Neha Narkhede, Gwen Shapira, Todd Palino

Cover for Kafka: The Definitive Guide - Real-Time Data and Stream Processing at Scale

Book Summary

Key Insights from the Book:

  1. Understanding Kafka: The book provides an in-depth understanding of Apache Kafka, a distributed streaming platform that allows for real-time data processing.
  2. Architecture: The authors discuss the internal architecture of Kafka and how it ensures fault-tolerance and high-availability.
  3. Data Streaming: The concept of data streaming and real-time data processing is exhaustively examined.
  4. Scalability: The book talks about Kafka's ability to scale horizontally and handle large volumes of data, making it suitable for big data applications.
  5. Programming with Kafka: The book covers the Kafka APIs in detail, providing practical examples of how to program with Kafka.
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