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Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture

Author(s) Name:  Azarmi, Bahaaldine

About the Book:

   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

  • The Big (Data) Problem
  • Early Big Data with NoSQL
  • Defining the Processing Topology
  • Streaming Data
  • Querying and Analyzing Patterns
  • Learning From Your Data?
  • Governance Considerations
  • ISBN:  9781484213261

    Publisher:  Apress

    Year of Publication:  2016

    Book Link:  Home Page Url