Advanced analytics with spark : patterns for learning from data at scale / Sandy Ryza [and three others].

Format:

Book

Author/Creator:

Ryza, Sandy, author.

Language:

English

Subjects (All):

Spark (Electronic resource : Apache Software Foundation).

Big data.

Data mining--Computer programs.

Data mining.

Physical Description:

1 online resource (276 p.)

Edition:

First edition.

Place of Publication:

Sebastopol, California : O'Reilly, 2015.

Language Note:

English

System Details:

text file

Summary:

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

Contents:

Analyzing big data

Introduction to data analysis with Scala and Spark

Recommending music and the audioscrobbler data set

Predicting forest cover with decision trees

Anomaly detection in network traffic with K-means clustering

Understanding Wikipedia with latent semantic analysis

Analyzing co-occurrence networks with GraphX

Geospatial and temporal data analysis on the New York City taxi trip data

Estimating financial risk through Monte Carlo simulation

Analyzing genomics data and the BDG project

Analyzing neuroimaging data with PySpark and Thunder.

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed April 17, 2015).

ISBN:

9781491912751

1491912758

9781491912768

1491912766

OCLC:

908199696