Big data : principles and best practices of scalable real-time data systems /

Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a sm...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Marz, Nathan (Author), Warren, James (James O.), 1974- (Author)
Format: Electronic eBook
Language:Inglés
Published: Shelter Island, NY : Manning, [2015]
Subjects:
Big data.
Real-time data processing.
Database management.
Database design.
Data mining.
Data Mining
Données volumineuses.
Temps réel (Informatique)
Bases de données > Gestion.
Bases de données > Conception.
Exploration de données (Informatique)
Big data
Data mining
Database design
Database management
Real-time data processing
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • A new paradigm for big data
  • Data model for big data
  • Data model for big data : illustration
  • Data storage on the batch layer
  • Data storage on the batch layer : illustration
  • Batch layer
  • Batch layer : illustration
  • An example batch layer : architecture and algorithms
  • An example batch layer : implementation
  • Serving layer
  • Serving layer : illustration
  • Realtime views
  • Realtime views : illustration
  • Queuing and stream processing
  • Queuing and stream processing : illustration
  • Micro-batch stream processing
  • Micro-batch stream processing : illustration
  • Lambda Architecture in depth.

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