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You're reading from  Extending Power BI with Python and R - Second Edition

Product typeBook
Published inMar 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781837639533
Edition2nd Edition
Languages
Python
Tools
Power BI
Concepts
Business Intelligence
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Author (1)
Luca Zavarella
Luca Zavarella
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Luca Zavarella

Luca Zavarella has a rich background as an Azure Data Scientist Associate and Microsoft MVP, with a Computer Engineering degree from the University of L'Aquila. His decade-plus experience spans the Microsoft Data Platform, starting as a T-SQL developer on SQL Server 2000 and 2005, then mastering the full suite of Microsoft Business Intelligence tools (SSIS, SSAS, SSRS), and advancing into data warehousing. Recently, his focus has shifted to advanced analytics, data science, and AI, contributing to the community as a speaker and blogger, especially on Medium. Currently, he leads the Data & AI division at iCubed, and he also holds an honors degree in classical piano from the "Alfredo Casella" Conservatory in L'Aquila.
Read more about Luca Zavarella

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Applying probabilistic record linkage algorithms

Deduplication is one of the key challenges in MDM and refers to the accurate identification and linkage of duplicate records. Unlike the case of email deduplication applied to a single field, as you saw in the previous chapter, it is often necessary to deduplicate records based on multiple fields that may be similar. In this section, we’ll see how to approach a case of deduplication using probabilistic record linkage in Python, R, and Power BI.

Applying probabilistic record linkage in Python

One of the most popular open-source Python libraries designed for probabilistic record linkage is Splink (https://github.com/moj-analytical-services/splink). It simplifies the process of implementing probabilistic record linkage by providing an easy-to-use and intuitive interface. It can efficiently handle large datasets, making it suitable for both small and large data applications.

Splink performs all data-linking operations...

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Extending Power BI with Python and R - Second Edition
Published in: Mar 2024Publisher: PacktISBN-13: 9781837639533
© 2024 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Luca Zavarella

Luca Zavarella has a rich background as an Azure Data Scientist Associate and Microsoft MVP, with a Computer Engineering degree from the University of L'Aquila. His decade-plus experience spans the Microsoft Data Platform, starting as a T-SQL developer on SQL Server 2000 and 2005, then mastering the full suite of Microsoft Business Intelligence tools (SSIS, SSAS, SSRS), and advancing into data warehousing. Recently, his focus has shifted to advanced analytics, data science, and AI, contributing to the community as a speaker and blogger, especially on Medium. Currently, he leads the Data & AI division at iCubed, and he also holds an honors degree in classical piano from the "Alfredo Casella" Conservatory in L'Aquila.
Read more about Luca Zavarella

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