Advanced analytics with Spark.

Ryza, Sandy

Advanced analytics with Spark. Patterns for learning from data at scale - Second edition - Beijing O'Reilly [2017] - XII, 264 S. Ill.

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The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by presenting examples and a set of self-contained patterns for performing large-scale data analysis with Spark. 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.

1-4919-7295-5 978-1-4919-7295-3


Data Analyses & Machine Learning
Big data
Data mining--Computer programs
The Vienna Instiute for International Economic Studies (wiiw)