Principles of Data Wrangling Practical Techniques for Data Preparation 1st Edition by Tye Rattenbury, Joseph M Hellerstein, Jeffrey Heer, Sean Kandel, Connor Carreras ISBN 1491938927 9781491938928

Principles of Data Wrangling Practical Techniques for Data Preparation 1st Edition by Tye Rattenbury, Joseph M. Hellerstein, Jeffrey Heer, Sean Kandel, Connor Carreras – Ebook PDF Instant Download/Delivery: 1491938927, 9781491938928

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Product details:

ISBN 10: 1491938927

ISBN 13: 9781491938928 

Author: Tye Rattenbury, Joseph M. Hellerstein, Jeffrey Heer, Sean Kandel, Connor Carreras

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.

Table of contents:

1. Introduction
2. A Data Workflow Framework
3. The Dynamics of Data Wrangling
4. Profiling
5. Transformation: Structuring
6. Transformation: Enriching
7. Using Transformation to Clean Data
8. Roles and Responsibilities
9. Data Wrangling Tools

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Tags: Tye Rattenbury, Joseph M Hellerstein, Jeffrey Heer, Sean Kandel, Connor Carreras, Principles, Data, Wrangling, Practical, Techniques, Data Preparation