The authors of this book cover key elements in good design for streaming analytics, new messaging technologies, including Apache Kafka and MapR Streams, technology choices for streaming analytics, and a lot more. We firmly believe that all developers should strive to learn as much about the tools they work with as possible, but we also acknowledge that developing solutions at the speed of business sometimes means skipping the technical stuff and figuring things out as you go. These books help you to be an expert in the Apache Kafka computing framework. Its author, Neha Narkhede, is co-founder and CTO at Confluent, and she was responsible for the streaming infrastructure built on top of Apache Kafka and Apache Samza when she worked at LinkedIn. If you want to broaden your horizons with regard to Apache Kafka, then Kafka: The Definitive Guide is one of the best choices to start with your endeavor. Real time: Messages produced by the producer threads should be immediately visible to consumer threads; this feature is critical to event-based systems such as Apache Kafka is designed with O(1) disk structures that provide constant-time performance even with very large volumes of stored messages, which is in order of TB. From Facebook to Google to startups of many different kinds, data is everywhere today, and those who know how to leverage it to their benefit lead the pack. It’s also suitable for production engineers who install, configure, tune, and monitor Apache Kafka in production. Kafka is a solution to the real-time problems of any software solution, that is, to deal with real-time volumes of information and route it to multiple consumers quickly. Stream analytics and stream processing are already attracting more and more data-driven companies. The word 'Packt' and the Packt logo are registered trademarks belonging to
It provides code samples that you can use in a real-time scenario. You will learn everything you need to know for setting up Kafka clusters. This book is very practical up to the last part as it ends with the hands-on testing and operational aspects of the platform, such as debugging and monitoring. Kafka can be compared with Scribe or Flume as it is useful for processing activity stream data; but from the architecture perspective, it is closer to traditional messaging systems such as ActiveMQ or RabitMQ. 1210 Kelly Park Cir, Morgan Hill, CA 95037. This book provides detailed examples that enable you to learn the system’s design principles, key APIs, reliability guarantees, and architecture details which include the replication protocol, controller, and storage layer. It provides a comprehensive and step-by-step guide with real-world and practical examples. You will learn everything you need to know to work with Apache Kafka in the right format, as well as how to leverage its power of handling hundreds of megabytes of messages per second from multiple clients. This, at times, leads to redevelopment of information producers or consumers to provide an integration point between them. The writing style is good—simple and easily understandable. On the other hand, the second part guides you through conceptualizing streaming applications with the use of tools and frameworks such as Apache Storm, Apache Spark, and more. Complex Event Processing (CEP) systems. Nowadays, it is currently being used by a number of large enterprises for an array of cases. Apache Kafka provides a unified, high-throughput, low-latency platform to handle real-time data feeds. The book is intended for developers and non-technical people alike, and we can wholeheartedly recommend it anyone who would like to know how Apache Kafka fits into the broader stream processing landscape. Let’s take an overview of these 7 Apache Kafka Books one by one and find which books suit you more. Here, you can learn how to design reliable architecture which supports the big data paradigm. It also has actual used cases, detailed code examples, and even related diagrams and screenshots. It is available in two forms: the paperback form and the ebook form with Kindle. All rights reserved, Get all the quality content you’ll ever need to stay ahead with a Packt subscription – access over 7,500 online books and videos on everything in tech, Creating a simple Java producer with message partitioning, Multithreaded consumer for multipartition topics, https://cwiki.apache.org/confluence/display/KAFKA/Powered+By, Unlock this book with a FREE 10-day trial, Instant online access to over 7,500+ books and videos, Constantly updated with 100+ new titles each month, Breadth and depth in over 1,000+ technologies. Today, Apache Kafka supports both customer-facing applications and connecting downstream systems with real-time data. The less advanced concepts and even the complex ones are easy to grasp even to people who have no clue about the platform. It teaches you how to instantaneously configure and run your Kafka cluster. This practical book has been written for those who would like to explore streaming systems and learn how they are used by data engineers, data scientists, and developers to process event-time data. It includes a free eBook in Kindle, ePub, and PDF formats from the publication itself.
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