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Advanced Analytics with Spark

Advanced Analytics with Spark


57 Visitas | 96 Descargas | 2015-11-02 15:54:02 | pecarrazana

Descripción

In this practical book, four Cloudera data scientists present a set of self- contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. You’ll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniques—classification, collaborative filtering, and anomaly detection, among others—to fields such as genomics, security, and finance. If you have an entry-level understanding of machine learning and statistics, and you program in Java, Python, or Scala, you’ll find these patterns useful for working on your own data applications.

Detalles

Autor(es): Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills
Año:2015
Páginas:276
Tamaño:4.87 MB
Categoría:Spark
Etiquetas: large-scale data Scaling big data spark
  • Machine Learning with Spark

  • Fast Data Processing with Spark