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Advanced Analytics with Spark

Patterns for Learning from Data at Scale

O'Reilly Media,
E-Book ( PDF mit Adobe DRM )
In Ihrem Land nicht verfügbar


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.Youll start with an introduction to Spark and its ecosystem, and then dive into patterns that apply common techniquesclassification, collaborative filtering, and anomaly detection among othersto 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, youll find these patterns useful for working on your own data applications.Patterns include:Recommending music and the Audioscrobbler data setPredicting forest cover with decision treesAnomaly detection in network traffic with K-means clusteringUnderstanding Wikipedia with Latent Semantic AnalysisAnalyzing co-occurrence networks with GraphXGeospatial and temporal data analysis on the New York City Taxi Trips dataEstimating financial risk through Monte Carlo simulationAnalyzing genomics data and the BDG projectAnalyzing neuroimaging data with PySpark and Thunder


Titel: Advanced Analytics with Spark
Autoren/Herausgeber: Sandy Ryza, Uri Laserson, Sean Owen, Josh Wills

ISBN/EAN: 9781491912737

Seitenzahl: 276
Produktform: E-Book
Sprache: Englisch - Newsletter
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