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 Neha Narkhede, Gwen Shapira, Todd Palino ebook
ISBN: 9781491936160
Publisher: O'Reilly Media, Incorporated
Page: 300
Format: pdf

Acquire basic knowledge about data stream processing systems. Kafka, a Flipboard topic with the latest stories powered by top publications During the seven-week Insight Data Engineering Fellows Program recent Kafka: The Definitive Guide . The Definitive Guide to MongoDB: The. The Definitive Guide to MongoDB; Pro PHP and jQuery, Second Edition; Common This book demonstrates how data processing can be done at scale from the usage of stream data patterns, log analysis, and real time analytics. However, real-time processing of data poses unique challenges, as real-timedata stream needs more advanced processing technologies. Different open sourceprojects such as Logstash, Spark, Kafka, and so on. Boken har inte släppts än och kan därför inte recenseras.Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale (. Big Data: Principles and Best Practices of Scalable Realtime Data Systems: AUDIENCE This book requires no previous exposure to large-scale data analysis or NoSQL Hadoop: The Definitive Guide von Tom White Taschenbuch EUR 35, 95 Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data. -an event cloud consists of many event streams, e.g., travelerarrival time and bus . Big Data: Principles and best practices of scalable realtime data systems. This shared state model limited the ability of CEP products to scale horizontally.