Data Algorithms with Spark
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. You'll learn how to tackle problems involving ETL, design pattern… Celý popis ↓
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Popis Data Algorithms with Spark
Data Algorithms with Spark
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. You'll learn how to tackle problems involving ETL, design patterns, machine learning algorithms, data partitioning, and genomics analysis. 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.
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 solutionsExplore powerful transformations and reductions including reduceByKey(),
Parametre
- Výrobce
- O'Reilly Media
- Autor
- Mahmoud Parsian
- Počet stran
- 500
- Rok vydání
- 2022
- Jazyk
- anglické
- ISBN
- 1492082384
- Váha
- 702 gramů
- Vazba
- Brožovaná
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