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Best Books To Learn Apache Kafka

In this post, we have prepared a curated top list of reading recommendations for beginners and experienced. This hand-picked list of the best Apache-kafka books and tutorials can help fill your brain this January and ensure you’re getting smarter. We have also mentioned the brief introduction of each book based on the relevant Amazon or Reddit descriptions.

1. Apache Kafka (2013)

 Best Books To Learn Apache KafkaApache Kafka is the platform that handles real-time data feeds with a high-throughput, and this book is all you need to harness its power, quickly and painlessly. A step by step tutorial with a practical approach. Message publishing is a mechanism of connecting heterogeneous applications together with messages that are routed between them, for example by using a message broker like Apache Kafka. Such solutions deal with real-time volumes of information and route it to multiple…
Author(s): Nishant Garg

2. Apache Kafka 1.0 Cookbook (2017)

 Best Books To Learn Apache KafkaSimplify real-time data processing by leveraging the power of Apache Kafka 1.0. Apache Kafka provides a unified, high-throughput, low-latency platform to handle real-time data feeds. This book will show you how to use Kafka efficiently, and contains practical solutions to the common problems that developers and administrators usually face while working with it. This practical guide contains easy-to-follow recipes to help you set up, configure, and use Apache Kafka in the best…
Author(s): Raúl Estrada

3. Streaming Architecture: New Designs Using Apache Kafka and MapR Streams (2016)

 Best Books To Learn Apache KafkaMore and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you’ll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm. Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer. To illustrate the effectiveness of these technologies, this book also includes specific use cases. Ted Dunning is Chief Applications…
Author(s): Ted Dunning, Ellen Friedman

4. Building Data Streaming Applications with Apache Kafka (2017)

 Best Books To Learn Apache KafkaDesign and administer fast, reliable enterprise messaging systems with Apache Kafka. If you want to learn how to use Apache Kafka and the different tools in the Kafka ecosystem in the easiest possible manner, this book is for you. Some programming experience with Java is required to get the most out 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…
Author(s): Manish Kumar, Chanchal Singh

5. Learning Apache Kafka, Second Edition (2015)

 Best Books To Learn Apache KafkaStart from scratch and learn how to administer Apache Kafka effectively for messaging. This book is for readers who want to know more about Apache Kafka at a hands-on level; the key audience is those with software development experience but no prior exposure to Apache Kafka or similar technologies. It is also useful for enterprise application developers and big data enthusiasts who have worked with other publisher-subscriber-based systems and want to explore Apache Kafka as a futuristic…
Author(s): Nishant Garg

6. Apache Kafka Cookbook (2015)

 Best Books To Learn Apache KafkaOver 50 hands-on recipes to efficiently administer, maintain, and use your Apache Kafka installation. If you are a programmer or big data engineer using or planning to use Apache Kafka, then this book is for you. This book has several recipes which will teach you how to effectively use Apache Kafka. You need to have some basic knowledge of Java. If you don’t know big data tools, this would be your stepping stone for learning how to consume the data in these kind of systems.
Author(s): Saurabh Minni

7. Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka (2016)

 Best Books To Learn Apache KafkaLearn how to integrate full-stack open source big data architecture and to choose the correct technology―Scala/Spark, Mesos, Akka, Cassandra, and Kafka―in every layer. Big data architecture is becoming a requirement for many different enterprises. So far, however, the focus has largely been on collecting, aggregating, and crunching large data sets in a timely manner. In many cases now, organizations need more than one paradigm to perform efficient analyses. Big Data SMACK explains each of the full-stack technologies and, more…
Author(s): Raul Estrada, Isaac Ruiz

8. Mastering Apache Storm: Real-time big data streaming using Kafka, Hbase and Redis (2017)

 Best Books To Learn Apache KafkaApache Storm is a real-time Big Data processing framework that processes large amounts of data reliably, guaranteeing that every message will be processed. Storm allows you to scale your data as it grows, making it an excellent platform to solve your big data problems. This extensive guide will help you understand right from the basics to the advanced topics of Storm. The book begins with a detailed introduction to real-time processing and where Storm fits in to solve these problems.
Author(s): Ankit Jain

9. Event Streams in Action: Unified log processing with Kafka and Kinesis (2018)

 Best Books To Learn Apache KafkaEvent Streams in Action is a foundational book introducing the ULP paradigm and presenting techniques to use it effectively in data-rich environments. The book begins with an architectural overview, illustrating how ULP addresses the thorny issues associated with processing data from multiple sources. It then guides the reader through examples using the unified log technologies Apache Kafka and Amazon Kinesis and a variety of stream processing frameworks and analytics databases.
Author(s): Alexander Dean

10. Complete Guide to Open Source Big Data Stack (2018)

 Best Books To Learn Apache KafkaSee a Mesos-based big data stack created and the components used. You will use currently available Apache full and incubating systems. The components are introduced by example and you learn how they work together. In the Complete Guide to Open Source Big Data Stack, the author begins by creating a private cloud and then installs and examines Apache Brooklyn. After that, he uses each chapter to introduce one piece of the big data stack―sharing how to source the software and how to install it. You learn by simple example, step by step and chapter by chapter…
Author(s): Michael Frampton

11. Professional Hadoop (2016)

 Best Books To Learn Apache KafkaThe professional’s one-stop guide to this open-source, Java-based big data framework. Professional Hadoop is the complete reference and resource for experienced developers looking to employ Apache Hadoop in real-world settings. Written by an expert team of certified Hadoop developers, committers, and Summit speakers, this book details every key aspect of Hadoop technology to enable optimal processing of large data sets. Designed expressly for the professional developer, this book skips over the basics of database…
Author(s): Benoy Antony, Konstantin Boudnik

You might also be interested in: Cassandra, Ionic, JQuery, Groovy, OpenCV, ERP, WordPress, Haskell, Dojo, HTML5 Books.

Best Books to Learn Apache Kafka

We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Genesis and download some Apache-kafka books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.

Designing Event-Driven Systems: Concepts and Patterns for Streaming Services with Apache Kafka

Author(s): Ben Stopford
ID: 2284618, Publisher: , Year: 2018, Size: 5 Mb, Format: pdf

Building Data Streaming Applications with Apache Kafka.

Author(s): Kumar, Manish; Singh, Chanchal
ID: 2188045, Publisher: Packt Publishing, Year: 2017, Size: 3 Mb, Format: pdf

Practical Real-time Data Processing and Analytics: Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

Author(s): Shilpi Saxena, Saurabh Gupta
ID: 2189201, Publisher: Packt Publishing - ebooks Account, Year: 2017, Size: 13 Mb, Format: pdf

Please note that this booklist is not absolute. Some books are truly record-breakers according to Washington Post, others are drafted by unknown authors. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant resources you could recommend? Drop a comment if you have any feedback on the list.

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