Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

The Data Catalog : Sherlock Holmes Data Sleuthing for Analytics, Paperback / softback Book

The Data Catalog : Sherlock Holmes Data Sleuthing for Analytics Paperback / softback

Paperback / softback

Description

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.

Information

Save 26%

£39.99

£29.49

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information