Written and edited by some of the world's top experts in the field, this exciting new volume provides state-of-the-art research and latest technological breakthroughs in data wrangling, its theoretical concepts, practical applications, and tools for solving everyday problems.

Data wrangling is the process of cleaning and unifying messy and complex data sets for easy access and analysis. This process typically includes manually converting and mapping data from one raw form into another format to allow for more convenient consumption and organization of the data. Data wrangling is increasingly ubiquitous at today's top firms.

Data cleaning focuses on removing inaccurate data from your data set whereas data wrangling focuses on transforming the data's format, typically by converting "raw" data into another format more suitable for use. Data wrangling is a necessary component of any business. Data wrangling solutions are specifically designed and architected to handle diverse, complex data at any scale, including many applications, such as Datameer, Infogix, Paxata, Talend, Tamr, TMMData, and Trifacta.

This book synthesizes the processes of data wrangling into a comprehensive overview, with a strong focus on recent and rapidly evolving agile analytic processes in data-driven enterprises, for businesses and other enterprises to use to find solutions for their everyday problems and practical applications. Whether for the veteran engineer, scientist, or other industry professional, this book is a must have for any library.

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Yes, you can access Data Wrangling by M. Niranjanamurthy,Kavita Sheoran,Geetika Dhand,Prabhjot Kaur in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Civil Engineering. We have over one million books available in our catalogue for you to explore.

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Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Technology & Engineering

Subtopic

Civil Engineering

Index

Technology & Engineering

Cover
Title Page
Copyright Page
Contents
Chapter 1 Basic Principles of Data Wrangling
Chapter 2 Skills and Responsibilities of Data Wrangler
Chapter 3 Data Wrangling Dynamics
Chapter 4 Essentials of Data Wrangling
Chapter 5 Data Leakage and Data Wrangling in Machine Learning for Medical Treatment
Chapter 6 Importance of Data Wrangling in Industry 4.0
Chapter 7 Managing Data Structure in R
Chapter 8 Dimension Reduction Techniques in Distributional Semantics: An Application Specific Review
Chapter 9 Big Data Analytics in Real Time for Enterprise Applications to Produce Useful Intelligence
Chapter 10 Generative Adversarial Networks: A Comprehensive Review
Chapter 11 Analysis of Machine Learning Frameworks Used in Image Processing: A Review
Chapter 12 Use and Application of Artificial Intelligence in Accounting and Finance: Benefits and Challenges
Chapter 13 Obstacle Avoidance Simulation and Real-Time Lane Detection for AI-Based Self-Driving Car
Chapter 14 Impact of Suppliers Network on SCM of Indian Auto Industry: A Case of Maruti Suzuki India Limited
About the Editors
Index
EULA

About this book

Frequently asked questions

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Table of contents