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Building Data Streaming Applications with Apache Kafka

You're reading from   Building Data Streaming Applications with Apache Kafka Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787283985
Length 278 pages
Edition 1st Edition
Tools
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Authors (2):
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Chanchal Singh Chanchal Singh
Author Profile Icon Chanchal Singh
Chanchal Singh
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
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Table of Contents (14) Chapters Close

Preface 1. Introduction to Messaging Systems FREE CHAPTER 2. Introducing Kafka the Distributed Messaging Platform 3. Deep Dive into Kafka Producers 4. Deep Dive into Kafka Consumers 5. Building Spark Streaming Applications with Kafka 6. Building Storm Applications with Kafka 7. Using Kafka with Confluent Platform 8. Building ETL Pipelines Using Kafka 9. Building Streaming Applications Using Kafka Streams 10. Kafka Cluster Deployment 11. Using Kafka in Big Data Applications 12. Securing Kafka 13. Streaming Application Design Considerations

Deep driving into Confluent architecture

In this section, we will discuss the architecture of Confluent Platform and its components in detail. The Confluent Platform provides you with underlying built-in Connectors and components that help you focus on the business use case and how to get value out of it. It takes care of the integration of data from multiple sources and its consumption by the target system. The Confluent Platform provides a trusted way of securing, monitoring, and managing the entire Kafka cluster infrastructure. Let's talk about its components one-by-one.

The following image will give a concise idea of the Confluent architecture:

Confluent architecture

In the preceding figure, we can see the three colored components. The dark and light blue represent the enterprise and open source version of the Confluent Platform respectively. Simply put, there are two...

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