The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics 9781634627870

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Автор: O`Neil Bonnie K., Fryman Lowell
Название: The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics
ISBN: 9781634627870
Издательство: Gazelle Book Services
Классификация:

Анализ данных: Общие положения

Корпоративное управление

Анализ и синтез систем

Машинное обучение

ISBN-10: 1634627873
Обложка/Формат: Paperback
Страницы: 350
Вес: 0.50 кг.
Дата издания: 16.03.2020
Язык: English
Размер: 191 x 234 x 24
Читательская аудитория: Professional & vocational
Ключевые слова: Corporate governance,Data analysis: general,Machine learning,Systems analysis & design
Подзаголовок: Sherlock holmes data sleuthing for analytics
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Поставляется из: Англии
Описание: Apply this definitive guide to data catalogs and select the feature set needed to empower your data citizens in their quest for faster time to insight. The data catalog may be the most important breakthrough in data management in the last decade, ranking alongside the advent of the data warehouse. The latter enabled business consumers to conduct their own analyses to obtain insights themselves. The data catalog is the next wave of this, empowering business users even further to drastically reduce time to insight, despite the rising tide of data flooding the enterprise. Use this book as a guide to provide a broad overview of the most popular Machine Learning (ML) data catalog products, and perform due diligence using the extensive features list. Consider graphical user interface (GUI) design issues such as layout and navigation, as well as scalability in terms of how the catalog will handle your current and anticipated data and metadata needs. ONeil & Frymanpresent a typology which ranges from products that focus on data lineage, curation and search, data governance, data preparation, and of course, the core capability of finding and understanding the data. The authors emphasize that machine learning is being adopted in many of these products, enabling a more elegant data democratization solution in the face of the burgeoning mountain of data that is engulfing organizations. Derek Strauss, Chairman/CEO, Gavroshe, and Former CDO, TD Ameritrade. This book is organized into three sections: Chapters 1 and 2 reveal the rationale for a data catalog and share how data scientists, data administrators, and curators fare with and without a data catalog; Chapters 3-10 present the many different types of data catalogs; Chapters 11 and 12 provide an extensive features list, current trends, and visions for the future.

The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics, O`Neil Bonnie K., Fryman Lowell