ISBN: 9781491938928 - principles of data wrangling: practical techniques for data preparation (13 Ergebnisse)

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  • Sprache: Englisch

    Verlag: O'Reilly Media, 2017

    1491938927 / 9781491938928

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  • Sprache: Englisch

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  • Sprache: Englisch

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    Paperback. Zustand: 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.…

  • Sprache: Englisch

    Verlag: O'Reilly Media, 2017

    1491938927 / 9781491938928

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  • Sprache: Englisch

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  • Sprache: Englisch

    Verlag: O'Reilly Media, 2017

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  • Sprache: Englisch

    Verlag: O?Reilly Media, Inc, USA, 2017

    1491938927 / 9781491938928

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    Zustand: New. 2017. 1st Edition. Paperback. . . . . .

  • Sprache: Englisch

    Verlag: Oreilly & Associates Inc, 2017

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    Paperback. Zustand: Brand New. 82 pages. 8.75x6.75x0.25 inches. In Stock.

  • Sprache: Englisch

    Verlag: O Reilly Media, Inc, USA, 2017

    1491938927 / 9781491938928

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    Zustand: New. 2017. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.

  • Sprache: Englisch

    Verlag: O'Reilly Media, US, 2017

    1491938927 / 9781491938928

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    Paperback. Zustand: 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.…

  • Sprache: Englisch

    Verlag: O'Reilly Media, Sebastopol, 2017

    1491938927 / 9781491938928

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    Paperback. Zustand: new. Paperback. 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" 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

  • Sprache: Englisch

    Verlag: OREILLY MEDIA, 2017

    1491938927 / 9781491938928

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    Kartoniert / Broschiert. Zustand: 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.&Uumlber den A.

  • Sprache: Englisch

    Verlag: O'reilly Media Aug 2017, 2017

    1491938927 / 9781491938928

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    Taschenbuch. Zustand: Neu. Neuware - 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 factorstime, granularity, scope, and structurethat 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 importanceand the satisfactionof 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.…