Scaling Up with R and Apache Arrow : Bigger Data, Easier Workflows - Jonathan Keane

Instant online reading.
Don't wait for delivery!
Go digital and save!

Scaling Up with R and Apache Arrow

Bigger Data, Easier Workflows

By: Jonathan Keane, Nic Crane, Neal Richardson

Write A Review

Paperback | 1 June 2025

At a Glance

Paperback
158 Pages

Dimensions(cm)
23.32 x 15.55 x 1.2

Paperback

$171.75

or 4 interest-free payments of $42.94 with

or

Ships in 10 to 15 business days

Analyze large datasets directly from R. Scaling Up With R and Arrow provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. As data grows in size and complexity, traditional data analysis methods in R often hit technical limitations. In this book, you''ll learn how to overcome these hurdles without needing to set up complex infrastructure.

You''ll learn about the Apache Arrow project''s origins, goals, and its significance in bridging the gap between data science and big data ecosystems. You''ll also learn how to leverage the arrow R package to work directly with files in various formats, such as CSV and Parquet, using familiar dplyr syntax. This book explores practical topics like data manipulation, file formats, working with larger datasets, and optimizing workflows for data in cloud storage. Advanced chapters examine user-defined functions, integration with other tools like DuckDB, and extending Arrow''s capabilities to work with geospatial data.

Written by developers of the Arrow R package, this guide is essential for anyone looking to scale their data processing capabilities in R.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.