Idioma: Inglés
Publicado por O'Reilly Media August 2017, 2017
ISBN 10: 1491938927 ISBN 13: 9781491938928
Librería: Stone Soup Books Inc, Waynesboro, VA, Estados Unidos de America
Miembro de asociación: MABA
EUR 14,75
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Añadir al carritoTrade Paperback. Condición: Near Fine. Fine with clean, unmarked interior and clean covers.
Idioma: Inglés
Publicado por O'Reilly Media August 2017, 2017
ISBN 10: 1491938927 ISBN 13: 9781491938928
Librería: Stone Soup Books Inc, Waynesboro, VA, Estados Unidos de America
Miembro de asociación: MABA
EUR 14,75
Cantidad disponible: 1 disponibles
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 24,17
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EUR 31,66
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Añadir al carritoPaperback. Condición: New. A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst's time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors-time, granularity, scope, and structure-that you need to consider as you begin to work with data. You'll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today's data-driven organizations. Appreciate the importance-and the satisfaction-of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis.
EUR 31,66
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Añadir al carritoPaperback. Condición: New. A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst's time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors-time, granularity, scope, and structure-that you need to consider as you begin to work with data. You'll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today's data-driven organizations. Appreciate the importance-and the satisfaction-of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 27,26
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 27,68
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2017
ISBN 10: 1491938927 ISBN 13: 9781491938928
Librería: Revaluation Books, Exeter, Reino Unido
EUR 43,95
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Añadir al carritoPaperback. Condición: Brand New. 82 pages. 8.75x6.75x0.25 inches. In Stock.
EUR 32,72
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Añadir al carritoPaperback. Condición: New. A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst's time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors-time, granularity, scope, and structure-that you need to consider as you begin to work with data. You'll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today's data-driven organizations. Appreciate the importance-and the satisfaction-of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis.
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Añadir al carritoKartoniert / Broschiert. Condición: New. Written by key executives at Trifacta, this book teaches you a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today s data-driven organizations.Über den A.
EUR 28,04
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst's time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors-time, granularity, scope, and structure-that you need to consider as you begin to work with data. You'll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today's data-driven organizations. Appreciate the importance-and the satisfaction-of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2017
ISBN 10: 1491938927 ISBN 13: 9781491938928
Librería: Revaluation Books, Exeter, Reino Unido
EUR 36,34
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 82 pages. 8.75x6.75x0.25 inches. In Stock. This item is printed on demand.