Kafka: The Definitive Guide: Real-time data and stream processing at scale Neha Narkhede, Gwen Shapira, Todd Palino
Publisher: O'Reilly Media, Incorporated

This shared state model limited the ability of CEP products to scale horizontally. Address problems involving large-scale data in cost-effective ways, this book is for you. Tanks Bulkware Games Events Sports Television Streaming Traffic Buses Hadoop: The Definitive Guide Hadoop: Move Compute to the Data; 27. Fishpond Australia, Kafka: The Definitive Guide: Real-Time Data and StreamProcessing at Scale by Gwen Shapira Neha Narkhede. Summary Storm Applied is a practical guide to using Apache Storm for the real- world tasks associated with processing and analyzing real-time data streams. Real-Time: all processing (from event reception to system response) executes .. Real-world case studies that show you how to scale a high-throughput stream processor . 9 Real Time Data Processing Platform: Storm12 Case Study: Networking Fault With Storm and Kafka, you can conduct stream processing at linear scale, assured .. That are very closely related to it (like Kafka and Trident) and nothing else. Neha Narkhede, Gwen Shapira & Todd Palino KafkaThe Definitive Guide REAL-TIME DATA AND STREAM PROCESSING AT SCALE www. However, real-time processing of data poses unique challenges, as real-timedata stream needs more advanced processing technologies. Apache Kafka, a Flipboard topic with the latest stories powered by Streaming Analytics + Message Hub: You'll need more data How 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. 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. Cassandra: The Definitive Guide The challenge of moving and processing data on Google's scale is immense, perhaps larger than any other This Learning Path provides an in-depth tour of technologies used in processing and analyzingreal-time data. Kafka, Flume, and Scribe are tools for streaming data collection .