The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics. This item is unavailable.
Language: English
Published by Technics Publications (edition First Edition), 2020
- First Edition
- Softcover
- Used
Seller: BooksRun, Philadelphia, PA, U.S.A.BooksRun
5-star seller
AbeBooks seller since February 2, 2016
Unavailable
Softcover
Condition: Used - Very good
US$ 16.01
Item description from seller
It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Seller Inventory # 1634627873-8-1
- Title
- The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics
- Author
- O’Neil, Bonnie K.; Fryman, Lowell
- Publisher
- Technics Publications (edition First Edition)
- Publication year
- 2020
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1634627873
- ISBN 13
- 9781634627870
- Edition
- First Edition.
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.
O'Neil & Fryman…present 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:
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.
O'Neil & Fryman…present 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.
"Synopsis" may belong to another edition of this title.
About the Author
Bonnie O'Neil is a Principal Computer Scientist at The MITRE Corporation and is a well-known expert on all phases of data architecture including data catalogs, data quality, business metadata, and governance. She has assisted both Fortune 500 companies and government agencies in data management projects for over 30 years. She is a regular speaker and workshop/tutorial leader at many conferences, and the author of four books.
Lowell is an independent consultant specializing in implementing data governance programs and data catalogs. He has been a speaker, practitioner, and industry leader in data governance, analytics, and data quality having hands-on experience with implementations across most industries.
Lowell is an independent consultant specializing in implementing data governance programs and data catalogs. He has been a speaker, practitioner, and industry leader in data governance, analytics, and data quality having hands-on experience with implementations across most industries.
"About the title" may belong to another edition of this title.
Search results for The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics
There are 9 more copies of this bookView all results