Principles of data wrangling : practical techniques for data preparation

Rattenbury, Tye. (Added Author). Hellerstein, Joseph M., 1968- (Added Author). Heer, Jeffrey Michael. (Added Author). Kandel, Sean. (Added Author). Carreras, Connor. (Added Author).

Summary: "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?""--Back cover.

Record details

ISBN: 1491938927
ISBN: 9781491938928
ISBN: 1491938870
ISBN: 9781491938874
ISBN: 9781491938898
ISBN: 1491938897
Physical Description: 1 online resource (viii, 82 pages) : illustrations
remote
Publisher: Sebastopol : O'Reilly, 2017.

Content descriptions

Formatted Contents Note:

Roles Across the Data Workflow FrameworkOrganizational Best Practices; Chapter 9. Data Wrangling Tools; Data Size and Infrastructure; Data Structures; Excel; SQL; Trifacta Wrangler; Transformation Paradigms; Excel; SQL; Trifacta Wrangler; Choosing a Data Wrangling Tool; About the Authors; Colophon.