Stream processing is rapidly growing in popularity, as more and more data is generated every day by websites, devices, and communications. Platforms such as Apache Kafka Streams can help you build fast, scalable stream processing applications, but big data engineers still need to design smart use cases to achieve maximum efficiency.

I read the book after working for several weeks with Kafka-Streams and for several months with Kafka. It is a great book, one of the best books I've read until now from Manning. It has a lot of examples that are very well explained. I understood how to use Kafka Streams, how the library it's built and how it's working.

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Kafka streams ebook

I am also writing this book for data architects and data engineers who are responsible for designing and building the organization’s data-centric infrastructure. Kafka Streams in Action: Real-time apps and microservices with the Kafka Streams API Kafka Streams in Action teaches you to implement stream processing within the Kafka platform. In this easy-to-follow book, you’ll explore real-world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events. eBook Description: Mastering Kafka Streams and ksqlDB: Building Real-Time Data Systems by Example.

The first thing the method does is create an instance of StreamsBuilder, which is the helper object that lets us build our topology.Next we call the stream() method, which creates a KStream object (called rawMovies in this case) out of an underlying Kafka topic. Note the type of that stream is Long, RawMovie, because the topic contains the raw movie objects we want to transform.

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It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka’s server-side cluster technology. Kafka Streams in Action teaches you to implement stream processing within the Kafka platform. In this easy-to-follow book, you’ll explore real-world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events.

Event Streams in Action: Real-Time Event Systems with Kafka and Kinesis: Dean, Purchase of the print book includes a free eBook in PDF, Kindle, and ePub

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2017-12-28 Stream processing is rapidly growing in popularity, as more and more data is generated every day by websites, devices, and communications. Platforms such as Apache Kafka Streams can help you build fast, scalable stream processing applications, but big data engineers still need to design smart use cases to achieve maximum efficiency. So far, we’ve covered the KStream API and adding state to a Kafka Streams application. In this chapter, we’re going to look deeper into adding state.
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JDBC source connector currently doesn’t set a namespace when it generates a schema name for the data it is Kafka Streams is also fully integrated with Kafka Security, making it a secure and enterprise-trusted solution for handling sensitive data. Kafka Streams real-time data streaming capabilities are used by top brands and enterprises, including The New York Times, Pinterest, Trivago, many banks and financial services organizations, and more. Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines.
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10 Aug 2017 Learn how to write the topology using the High-Level DSL for the WordCount application!

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