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Building Data Streaming Applications with Apache Kafka

Building Data Streaming Applications with Apache Kafka

By : Singh, Kumar
3.8 (4)
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Building Data Streaming Applications with Apache Kafka

Building Data Streaming Applications with Apache Kafka

3.8 (4)
By: Singh, Kumar

Overview of this book

Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it.
Table of Contents (14 chapters)
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Introduction to Messaging Systems

People have different styles of learning. This chapter will give you the necessary context to help you achieve a better understanding of the book.

The goal of any Enterprise Integration is to establish unification between separate applications to achieve a consolidated set of functionalities.

These discrete applications are built using different programming languages and platforms. To achieve any unified functionality, these applications need to share information among themselves. This information exchange happens over a network in small packets using different protocols and utilities.

So let us say that you are adding a new campaign component to an existing e-commerce application that needs to interact with a different application to calculate loyalty points. In this case, you will be integrating your e-commerce application with a different application using enterprise integration strategies.

This chapter will help you understand messaging systems, one of the common ways of establishing enterprise integration. It will walk you through various types of messaging system and their uses. At the end of this chapter, you will be able to distinguish between different messaging models available today and understand different design considerations for enterprise application integration.

We will be covering the following topics in this chapter:

  • Principles of designing a good messaging system
  • How a messaging system works
  • A point-to-point messaging system
  • A publish-subscribe messaging system
  • The AMQP messaging protocol
  • Finally we will go through the messaging system needed in designing streaming applications
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