The Data WarehouseETL Toolkit: Practical Techniques for Extracting, Cleaning, Conforming, and Delivering Data, Ralph Kimball

Автор: Soudagar Reza, Iyer Vinay, Hildebrand Volker
Название: The Customer Experience Edge: Technology and Techniques for Delivering an Enduring, Profitable and Positive Experience to Your Customers
ISBN: 007178697X ISBN-13(EAN): 9780071786973
Издательство: McGraw-Hill
Рейтинг:
Цена: 46890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Three customer experience experts provide executives and senior managers with cost-effective, sustainable methods for creating a superior customer experience--which generates heightened profitability in the age of rapid information flows and expanding customer expectations.

Название: Cleaning Techniques Normandin
ISBN: 1873394748 ISBN-13(EAN): 9781873394748
Издательство: Taylor&Francis
Рейтинг:
Цена: 40820.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Published as a special issue of the "Journal of Architectural Conservation", this book presents the research and developments in the cleaning of buildings, sculpture and monuments. It covers both wet and dry micro abrasive systems, other types of abrasives, laser cleaning methods and proprietary poultices for specialized applications.

Автор: Buttrey
Название: A Data Scientist`s Guide to Acquiring, Cleaning an d Managing Data in R
ISBN: 1119080029 ISBN-13(EAN): 9781119080022
Издательство: Wiley
Рейтинг:
Цена: 58030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process.

Автор: de Jonge
Название: Statistical Data Cleaning with Applications in R
ISBN: 1118897153 ISBN-13(EAN): 9781118897157
Издательство: Wiley
Рейтинг:
Цена: 69640.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

A comprehensive guide to automated statistical data cleaning

The production of clean data is a complex and time-consuming process that requires both technical know-how and statistical expertise. Statistical Data Cleaning brings together a wide range of techniques for cleaning textual, numeric or categorical data. This book examines technical data cleaning methods relating to data representation and data structure. A prominent role is given to statistical data validation, data cleaning based on predefined restrictions, and data cleaning strategy.

Key features:

• Focuses on the automation of data cleaning methods, including both theory and applications written in R.
  • Enables the reader to design data cleaning processes for either one-off analytical purposes or for setting up production systems that clean data on a regular basis.
  • Explores statistical techniques for solving issues such as incompleteness, contradictions and outliers, integration of data cleaning components and quality monitoring.
  • Supported by an accompanying website featuring data and R code.

This book enables data scientists and statistical analysts working with data to deepen their understanding of data cleaning as well as to upgrade their practical data cleaning skills. It can also be used as material for a course in data cleaning and analyses.