The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics

Author:   Bonnie O'Neil ,  Lowell Fryman
Publisher:   Technics Publications LLC
ISBN:  

9781634627870


Pages:   350
Publication Date:   16 March 2020
Format:   Paperback
Availability:   In stock   Availability explained
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The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics


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Author:   Bonnie O'Neil ,  Lowell Fryman
Publisher:   Technics Publications LLC
Imprint:   Technics Publications LLC
Weight:   0.604kg
ISBN:  

9781634627870


ISBN 10:   1634627873
Pages:   350
Publication Date:   16 March 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

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


Author Information

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 Fryman 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.

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