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

- Softcover
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Principles of Data Wrangling
Joseph M. Hellerstein, Connor Carreras, Jeffrey Heer, Tye Rattenbury, Sean Kandel
- Softcover
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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.…

Principles of Data Wrangling : Practical Techniques for Data Preparation
Rattenbury, Tye; Hellerstein, Joseph M.; Heer, Jeffrey; Kandel, Sean; Carreras, Connor
- Softcover
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Principles of Data Wrangling : Practical Techniques for Data Preparation
Rattenbury, Tye; Hellerstein, Joseph M.; Heer, Jeffrey; Kandel, Sean; Carreras, Connor
- Softcover
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- Softcover
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- Softcover
- Erstausgabe
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Zustand: New. 2017. 1st Edition. Paperback. . . . . .

Principles of Data Wrangling: Practical Techniques for Data Preparation
Rattenbury, Tye/ Hellerstein, Joseph M./ Heer, Jeffrey/ Kandel, Sean/ Carreras, Connor
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Paperback. Zustand: Brand New. 82 pages. 8.75x6.75x0.25 inches. In Stock.

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

Principles of Data Wrangling
Joseph M. Hellerstein, Connor Carreras, Jeffrey Heer, Tye Rattenbury, Sean Kandel
- Softcover
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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.…

- Softcover
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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. …

Principles of Data Wrangling
Tye Rattenbury|Joseph Hellerstein|Jeffrey Heer|Sean Kandel|Connor Carreras
- Softcover
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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.Über den A.

- Softcover
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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.…