A01=Connor Carreras
A01=Jeffrey Heer
A01=Joseph M. Hellerstein
A01=Sean Kandel
A01=Tye Rattenbury
attributes
Author_Connor Carreras
Author_Jeffrey Heer
Author_Joseph M. Hellerstein
Author_Sean Kandel
Author_Tye Rattenbury
business analyst
Category=UN
data analysis
data curation
data governance
data pipelines
data profiling
data wrangling
entities
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Product details
- ISBN 9781491938928
- Dimensions: 178 x 233mm
- Publication Date: 28 Jul 2017
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
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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
