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Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark

MRP: Rs.1,600.00 ($28)
Price in points: 1600 points
9789355420787
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Minimum quantity for "Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark" is 1.

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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
  • 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
  • Learn how to use and apply feature engineering in ML algorithms
  • Understand and use practical and pragmatic data design patterns

Books

Author:
Mahmoud Parsian
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:
440
Publication Date:
27/04/2022
Publisher:
Shroff/O'Reilly
Year:
2022

Dimensions

Dimensions (W x H x D):
7 x 9 x 0.85 inch

Table of Contents (9789355420787_toc.pdf, 242 Kb) [Download]