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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.
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