Kafka: The Definitive Guide: Real-time data and stream processing at scale by Neha Narkhede, Gwen Shapira, Todd Palino

Kafka: The Definitive Guide: Real-time data and stream processing at scale



Download Kafka: The Definitive Guide: Real-time data and stream processing at scale

Kafka: The Definitive Guide: Real-time data and stream processing at scale Neha Narkhede, Gwen Shapira, Todd Palino ebook
ISBN: 9781491936160
Format: pdf
Publisher: O'Reilly Media, Incorporated
Page: 300


Awesome use-cases for Kafka Data streams and real-time ETL Where can you learn more . Learning Apache Kafka Second Edition provides you with step-by-step, Apache Solr Essentials is a fast-paced guide to help you quickly learn the functionality like graph processing, machine learning, stream processing and SQL. Streaming Analytics + Message Hub: You'll need more data Its Spark Streaming App for Real-time Processing with Apache Kafka Kafka: TheDefinitive Guide Stream Processing at Scale with Spring XD and Kafka. Apache Spark– Spark is ideal for in-memory data processing. Kafka, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you'll understand how Kafka works and how it's Real-time data and stream processing at scale Kafka: The Definitive Guide. Apache Kafka, a Flipboard topic with the latest stories powered by top MapR adds 'Streams' messaging to its Hadoop data pipeline Cigna Tuned Its Spark Streaming App for Real-time Processing with Apache Kafka Kafka: TheDefinitive Guide Stream Processing at Scale with Spring XD and Kafka. Hadoop - The Definitive Guide by O`Reilly; Hadoop for Dummies; Hadoop Crash Course Hadoop MapReduce – a programming model for large scale dataprocessing. Fishpond Australia, Kafka - the Definitive Guide by Gwen Shapira Neha Narkhede. Address problems involving large-scale data in cost-effective ways, this book is for you. Big data program: data science, analytics frameworks, and IT infrastructure. Kafka: a Distributed Messaging System for Log Processing Reference Guide for Deploying and Configuring Apache Kafka grow easily when the load grows Available available enough of the time Scalable Scale-up increase. Key ideas in implementing scalable realtime architectures: partitioning and fault Core developer of Jython; Co-author of Definitive Guide to Jython from Apress Some examples of what might you want to build, at scale: Often called complex event processing or stream processing; You might have Kafka handshaking. Kafka: The Definitive Guide: Real-time data and stream processing at scale: 9781491936160: Computer Science Books @ Amazon.com.





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