现在的位置: 首页英文图书, 软件>正文
Data Algorithms with Spark
图书分类:英文图书, 软件 暂无评论 ⁄ 被围观 329 次阅读+

Apache Spark’s speed, ease of use, sophisticated analytics, and multilanguage support makes practical knowledge of this cluster-computing framework a required skill for data engineers and data scientists. With this hands-on guide, anyone looking for an introduction to Spark will learn practical algorithms and examples using PySpark.

In each chapter, author Mahmoud Parsian shows you how to solve a data problem with a set of Spark transformations and algorithms. You’ll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. Each detailed recipe includes PySpark algorithms using the PySpark driver and shell script.

With this book, you will:

  • Learn how to select Spark transformations for optimized solutions
  • Explore powerful transformations and reductions including reduceByKey(), combineByKey(), and mapPartitions()
  • Understand data partitioning for optimized queries
  • Design machine learning algorithms including Naive Bayes, linear regression, and logistic regression
  • Build and apply a model using PySpark design patterns
  • Apply motif-finding algorithms to graph data
  • Analyze graph data by using the GraphFrames API
  • Apply PySpark algorithms to clinical and genomics data (such as DNA-Seq)

 

Author: Mahmoud Parsian
Length: 500 pages
Edition: 1
Language: English
Publisher: O'Reilly Media
Publication Date: 2022-01-18
ISBN-10: 1492082384
ISBN-13: 9781492082385

标签:

你可能喜欢

0 0 投票数
文章评分
订阅评论
提醒
0 评论
内联反馈
查看所有评论
0
希望看到您的想法,请您发表评论x