February 2024
Intermediate to advanced
198 pages
4h 41m
English
Content preview from Hands-On Entity Resolution
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Chapter 1. Introduction to Entity Resolution
All around the world vast quantities of data are being collected and stored, and more data is being added every day. This data records the world we live in and the changing attributes and characteristics of the people, places, and things around us.
Within this global ecosystem of data processing, organizations independently collect overlapping sets of information about the same real-world entity. And each organization has its own approach to organizing and cataloging the data it holds.
Companies and institutions seek to derive valuable insights from this raw data. Advanced analytical techniques have been developed to discern patterns in the data, extract meaning, and even attempt to predict the future. The performance of these algorithms depends on the quality and richness of the data fed into them. By combining data from more than one organization, often a richer, more complete dataset can be created, from which more valuable conclusions can be drawn.
This book will guide you through how to join these heterogeneous datasets to create richer sets of data about the world in which we live. This process of joining datasets is known by a variety of names including name matching, fuzzy matching, record linking, entity reconciliation, and entity resolution. In this book we will use the term entity resolution to describe the overall process of resolving, that is, joining, data together that refers to real-world entities.
What Is Entity Resolution? ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.