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Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark

MRP: Rs.950.00
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9789355422804
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The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming.

Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques-including classification, clustering, collaborative filtering, and anomaly detection, to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing.

If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis.

  • Familiarize yourself with Spark's programming model and ecosystem
  • Learn general approaches in data science
  • Examine complete implementations that analyze large public datasets
  • Discover which machine learning tools make sense for particular problems
  • Explore code that can be adapted to many uses

Books

Author 1:
Akash Tandon
Author 2:
Sandy Ryza
Author 3:
Uri Laserson
Author 4:
Sean Owen
Author 5:
Josh Wills
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
ships in 1-2 days
Leadtime to ship in days(if not in stock):
ships in 12-15 days
Pages:
236
Publication Date:
27/06/2022
Publisher:
Shroff/O'Reilly
Year:
2022

Dimensions

Dimensions (W x H x D):
7 x 9 x 0.5 inch

Table of Contents (9789355422804_toc.pdf, 39 Kb) [Download]