Principles Of Data Wrangling PDF Free Download

[PDF] Principles of Data Wrangling: Practical Techniques for Data Preparation by Connor Carreras, Jeffrey Heer, Joseph M. Hellerstein, Sean Kandel, Tye Rattenbury Free Downlaod Publisher : O'Reilly Media Category : Computers & Internet ISBN-10 : 1491938927 ISBN-13 : 9781491938928

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Principles

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A key task that any aspiring

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

Table of Contents

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

Book Details

Book Name : Principles of Data Wrangling: Practical Techniques for Data Preparation
Author : Connor Carreras, Jeffrey Heer, Joseph M. Hellerstein, Sean Kandel, Tye Rattenbury
Category : Computers & Internet
ISBN-13 : 9781491938928
Pages : 94
Publish Date : July 15, 2017

Data Wrangling In R

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Principles of Data Integration

Data
  • Author : AnHai Doan
  • Publisher : Elsevier
  • Release Date : 2012-06-25
  • Genre: Computers
  • Pages : 520
  • ISBN 10 : 9780123914798
GET BOOKPrinciples of Data Integration Book Description :

Principles Of Data Wrangling

How do you approach answering queries when your data is stored in multiple databases that were designed independently by different people? This is first comprehensive book on data integration and is written by three of the most respected experts in the field. This book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. Data integration is the problem of answering queries that span multiple data sources (e.g., databases, web pages). Data integration problems surface in multiple contexts, including enterprise information integration, query processing on the Web, coordination between government agencies and collaboration between scientists. In some cases, data integration is the key bottleneck to making progress in a field. The authors provide a working knowledge of data integration concepts and techniques, giving you the tools you need to develop a complete and concise package of algorithms and applications. Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand Enables you to build your own algorithms and implement your own data integration applications