Advanced Analytics with Spark: Patterns for Learning from Data at Scale

By | June 29, 2017
Advanced Analytics with Spark: Patterns for Learning from Data at Scale Author Sandy Ryza
ISBN-10 1491912766
ISBN-13 9781491912768
Year 2015-04-20
Pages 276
Language English
Publisher O’Reilly Media
Download Link Click Here

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

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