0 Your Cart

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

Author: Sandy Ryza, Uri Laserson , Sean Owen, Josh Wills

Sandy Ryza, Uri Laserson , Sean Owen, Josh Wills (Author)
Visit Cb-India's Author Page
Books by him and info about author and more.

Are you a Author?
Learn more here

Save
20%

Hover over an image to enlarge

MRP: MRP: $9.67
Net Price: $7.73
You save: $1.93 (20%)
In stock
Leadtime to ship in days (default): Usually ships in 2 Days
9789352135714
Price in points: 580 points
Reward points: 6 points
+

Description

"In the second edition of 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. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other best practices in Spark programming.


You’ll start with an introduction to Spark and its ecosystem and then dive into patterns that apply common techniques—including classification, clustering, collaborative filtering and anomaly detection—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 the book’s patterns useful for working on your own data applications.

With this book, you will:




Familiarize yourself with the Spark programming model

Become comfortable within the Spark ecosystem

Learn general approaches in data science

Examine complete implementations that analyze large public data sets

Discover which machine learning tools make sense for particular problems

Acquire code that can be adapted to many uses

Features

Author:
Sandy Ryza, Uri Laserson , Sean Owen, Josh Wills
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition :
2
Leadtime to ship in days (default):
Usually ships in 2 Days
Page:
276
Publisher:
Shroff/O'Reilly
Year:
2017

Tags

Reviews

No posts found

Possibly you may be interested
 
Fast and high quality delivery

Our company makes delivery all over the country

Quality assurance and service

We offer only those goods, in which quality we are sure