Language:
English
Pages:
1 online resource (1 volume)
,
illustrations
Edition:
First edition.
Parallel Title:
Erscheint auch als
Keywords:
Spark (Electronic resource : Apache Software Foundation)
;
Big data
;
Data mining ; Computer programs
;
Electronic books
;
Electronic books ; local
Abstract:
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.
Note:
Includes index. - Description based on print version record
URL:
https://learning.oreilly.com/library/view/-/9781491912751/?ar
