Spark and Big Data Processing with R and Python : Building Scalable Pipelines with Sparklyr, PySpark, and Databricks

Language: English

Published by Independently Published Mai 2026, 2026

9798198822771

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  • New
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

Condition: New

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Neuware - Reactive PublishingLearn big data processing with Spark using R and Python.This book offers a practical introduction to Apache Spark for large-scale data work. It focuses on building scalable data pipelines using Sparklyr, PySpark, and Databricks.You will discover how to: - Work with large datasets using Apache Spark- Use Sparklyr to integrate Spark with R- Develop with PySpark in Python- Leverage Databricks for cloud-based Spark environments- Construct reliable data pipelines for real-world useThe book bridges the R and Python ecosystems, helping data professionals use the right language for different Spark tasks. It covers core concepts including data transformation, distributed processing, and moving projects from development to production.Written for data analysts, data scientists, and engineers who want to add Spark to their toolkit.Perfect for: Professionals looking to expand their skills in big data processing with Spark across both R and Python.

Seller Inventory # 9798198822771

Title
Spark and Big Data Processing with R and Python : Building Scalable Pipelines with Sparklyr, PySpark, and Databricks
Author
Julian K. Mercer
Publisher
Independently Published Mai 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 13
9798198822771
Item weight
511 grams
Dimensions
229x152x27 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 39.24US$ 50.46
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AHA-BUCH GmbH

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Einbeck, Germany 37574