O'Reilly Hands-On Entity Resolution - Python Data Matching Guide

Improve your data quality with Hands-On Entity Resolution: A Practical Guide to Data Matching with Python. This book provides a direct approach to identifying multiple data records that refer to the same real-world entity, a skill essential for modern data management. Written by Michael Shearer, this guide helps product managers, data analysts, and data scientists learn to add value to their datasets. You will learn how to cleanse, analyze, and resolve data using open source Python libraries and cloud APIs. The content focuses on practical applications, such as removing duplicate entries within a single source and joining disparate data sources together when common identifiers are missing. By following this hands-on method, you can scale up your data matching processes and improve the accuracy of your reconciliations. Whether you are working with single sources or integrating multiple datasets, this guide provides the technical foundation needed to master entity resolution and build more reliable data architectures.