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Building Data Streaming Applications with Apache Kafka

You're reading from  Building Data Streaming Applications with Apache Kafka

Product type Book
Published in Aug 2017
Publisher Packt
ISBN-13 9781787283985
Pages 278 pages
Edition 1st Edition
Languages
Authors (2):
Chanchal Singh Chanchal Singh
Profile icon Chanchal Singh
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details

Table of Contents (14) Chapters

Preface Introduction to Messaging Systems Introducing Kafka the Distributed Messaging Platform Deep Dive into Kafka Producers Deep Dive into Kafka Consumers Building Spark Streaming Applications with Kafka Building Storm Applications with Kafka Using Kafka with Confluent Platform Building ETL Pipelines Using Kafka Building Streaming Applications Using Kafka Streams Kafka Cluster Deployment Using Kafka in Big Data Applications Securing Kafka Streaming Application Design Considerations

Kafka's architecture

This section introduces you to Kafka architecture. By the end of this section, you will have a clear understanding of both the logical and physical architecture of Kafka. Let's see how Kafka components are organized logically.

Every message in Kafka topics is a collection of bytes. This collection is represented as an array. Producers are the applications that store information in Kafka queues. They send messages to Kafka topics that can store all types of messages. Every topic is further differentiated into partitions. Each partition stores messages in the sequence in which they arrive. There are two major operations that producers/consumers can perform in Kafka. Producers append to the end of the write-ahead log files. Consumers fetch messages from these log files belonging to a given topic partition. Physically, each topic is spread over different...

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