Shearer, Michael

Hands-On Entity Resolution: A Practical Guide to Data Matching with Python

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ISBN 13:
9781098148485
author:
Shearer, Michael
format:
Paperback
publisher:
O'Reilly Media
language:
English
Publication Year:
2024
Pages:
200
Dimensions:
23.3 x 17.8 x 1.1 centimetres (0
Genre:
Computers, Programming, Python,
Condition:
New
Availability:
Item usually sent within 10 working days
£42.38

Description

Hands-On Entity Resolution: A Practical Guide to Data Matching with Python By Michael Shearer O'Reilly Media, Incorporated, 2024 A practical guide to entity resolution using open source Python libraries and cloud APIs. This book helps you add value to data by cleansing, analyzing, and resolving datasets, enabling you to build rich and comprehensive data assets that reveal relationships for marketing and risk management purposes. You'll learn how to scale up your data matching processes, remove duplicate entries within a single source, and join disparate data sources together when common keys aren't available. The book covers techniques such as text matching algorithms, deduplicating and joining datasets at scale, and evaluating data matches. With real-world data examples, you'll gain practical understanding to accelerate the delivery of real business value. Entity resolution is a key analytic technique that enables you to identify multiple data records referring to the same real-world entity. This guide shows you how to apply this technique using cloud APIs and privacy-enhancing technologies.

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