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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Nic Crane is an R developer, educator, and general enthusiast, with a background in data science and software engineering. Nic is a member of the Apache Arrow Project Management Committee (PMC) and part of the team who maintains the arrow R package.
Jonathan Keane is an engineering manager with a background in software engineering and data science. Jonathan is a part of the team who maintains the Arrow project including the Arrow R package.
Neal Richardson is an engineering leader focused on building software that helps people work with data. He is a member of the Arrow PMC and one of the top contributors to the project.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 48410434-n
Quantità: 10 disponibili
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9781032663203
Quantità: Più di 20 disponibili
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 48410434
Quantità: 10 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Hardcover. Condizione: new. Hardcover. 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. This book provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. You'll learn how to overcome these hurdles without needing to set up complex infrastructure. Written by developers of the Arrow R package, this guide is essential for anyone looking to scale their data processing capabilities in R. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781032663203
Quantità: 1 disponibili
Da: moluna, Greven, Germania
Condizione: New. Nic Crane is an R developer, educator, and general enthusiast, with a background in data science and software engineering. Nic is a member of the Apache Arrow Project Management Committee (PMC) and part of the team who maintains the arrow R packag. Codice articolo 1933752589
Quantità: Più di 20 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 48410434
Quantità: 10 disponibili
Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: New. Codice articolo 48410434-n
Quantità: 10 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9781032663203
Quantità: Più di 20 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9781032663203
Quantità: Più di 20 disponibili
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. Codice articolo B9781032663203
Quantità: 1 disponibili