Author(s) Name:  Azarmi, Bahaaldine
This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term “Big Data”, from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance. This book demonstrates how data processing can be done at scale from the usage of NoSQL datastores to the combination of Big Data distribution.
This book shows you how to choose a relevant combination of big data technologies available within the Hadoop ecosystem. It focuses on processing long jobs, architecture, stream data patterns, log analysis, and real time analytics. Every pattern is illustrated with practical examples, which use the different open sourceprojects such as Logstash, Spark, Kafka, and so on.
Table of Contents
Year of Publication:  2016
Book Link:  Home Page Url