Articoli correlati a Spark and Big Data Processing with R and Python: Building...

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

Mercer, Julian K.

 
9798198822771: Spark and Big Data Processing with R and Python: Building Scalable Pipelines with Sparklyr, PySpark, and Databricks
Brossura
ISBN 13: 9798198822771
Casa editrice: Independently published, 2026

Sinossi

Reactive Publishing

Learn 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 use

The 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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
Independently published
Data di pubblicazione
2026
Lingua
Inglese
ISBN 13 
9798198822771
Rilegatura
Copertina flessibile
Numero di pagine
423
Redattore
Schwartz Alice
Contatto del produttore
Manufactured by Amazon on behalf of the author
https://www.amazon.it/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Lussemburgo