دانلود کتاب Data Algorithms with Spark: Recipes and Design Patterns for Scaling Up using PySpark
by Mahmoud Parsian
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عنوان فارسی: الگوریتم های داده با Spark: دستور العمل ها و الگوهای طراحی برای افزایش مقیاس با استفاده از PySpark |
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جزییات کتاب
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