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Neha Narkhede Books

1 book·~10 min total read

Neha Narkhede is a co-founder of Confluent and one of the original creators of Apache Kafka.

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

Books by Neha Narkhede

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

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

data_science·10 min read

This comprehensive guide introduces Apache Kafka, a distributed streaming platform designed for building real-time data pipelines and streaming applications. It explains Kafka’s architecture, core concepts, and ecosystem tools, providing practical examples for deploying, managing, and scaling Kafka clusters. The book covers topics such as producers, consumers, topics, partitions, replication, and stream processing with Kafka Streams and Connect.

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1

Kafka Architecture Fundamentals

At the heart of Kafka lies a remarkably elegant idea: the distributed commit log. Unlike traditional message brokers that push data forward to consumers, Kafka keeps data persistent and available across brokers, allowing consumers to read at their own pace. We designed Kafka to act simultaneously as...

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

2

Producers and Consumers

Data flows through Kafka by means of producers and consumers. As producers, we publish records to specific topics, tagging each event with keys that determine partition assignment. Kafka’s producer API is built to balance reliability and speed. It supports various delivery semantics—at most once, at...

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

About Neha Narkhede

Neha Narkhede is a co-founder of Confluent and one of the original creators of Apache Kafka.

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Neha Narkhede is a co-founder of Confluent and one of the original creators of Apache Kafka.

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