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Data Wrangling

Concepts, Applications and Tools de

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Éditeur :

Wiley-Scrivener


Paru le : 2023-06-01

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Description

DATA WRANGLING
Written and edited by some of the world's top experts in the field, this exciting new volume provides state-of-the-art research and latest technological breakthroughs in data wrangling, its theoretical concepts, practical applications, and tools for solving everyday problems.
Data wrangling is the process of cleaning and unifying messy and complex data sets for easy access and analysis. This process typically includes manually converting and mapping data from one raw form into another format to allow for more convenient consumption and organization of the data. Data wrangling is increasingly ubiquitous at today’s top firms.
Data cleaning focuses on removing inaccurate data from your data set whereas data wrangling focuses on transforming the data's format, typically by converting "raw" data into another format more suitable for use. Data wrangling is a necessary component of any business. Data wrangling solutions are specifically designed and architected to handle diverse, complex data at any scale, including many applications, such as Datameer, Infogix, Paxata, Talend, Tamr, TMMData, and Trifacta.
This book synthesizes the processes of data wrangling into a comprehensive overview, with a strong focus on recent and rapidly evolving agile analytic processes in data-driven enterprises, for businesses and other enterprises to use to find solutions for their everyday problems and practical applications. Whether for the veteran engineer, scientist, or other industry professional, this book is a must have for any library.
Pages
368 pages
Collection
n.c
Parution
2023-06-01
Marque
Wiley-Scrivener
EAN papier
9781119879688
EAN PDF
9781119879855
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
368
Taille du fichier
136663 Ko
Prix
197,50 €
EAN EPUB
9781119879848
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
368
Taille du fichier
30740 Ko
Prix
197,50 €

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