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

Advanced Analytics with Spark: Patterns for Learning from Data at ScaleПисатель:Sandy Ryza, Uri Laserson
Название:Advanced Analytics with Spark: Patterns for Learning from Data at Scale
Издательство:O'Reilly Media; 1 edition
Годочек:2015
Формат:PDF
Размер:4.03 MB
Язык:Английский
Для сайта: MirKnig.com

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.

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