Spark and Big Data Processing with R and Python

Name: Spark and Big Data Processing with R and Python
Brand: Independently published
SKU: 9798198822771
Price: 14495 HUF
Availability: InStock

Building Scalable Pipelines with Sparklyr, PySpark, and Databricks

Szerző: Julian K. Mercer, Alice Schwartz

Nyelv:

Kötés: Puha kötésű

Kiadó: Independently published

Elérhetőség: Beszállítói készleten

Küldés 9-13 napon belül

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Reactive PublishingLearn big data processing with Spark using R and Python.This book offers a practi...

Információk a könyvről

Szerző

Julian K. Mercer, Alice Schwartz

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2026

oldal

424

EAN

9798198822771

Enbook ID

52546568

Kiadó

Independently published

Súly

511

Méretek

152 x 229 x 27

Teljes leírás

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.

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Spark and Big Data Processing with R and Python

Building Scalable Pipelines with Sparklyr, PySpark, and Databricks

Információk a könyvről

Teljes leírás

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