Fuzzy Matching using the COMPGED Function

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Talend Fuzzy Matching - Tutorial Gateway

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  • ING bank is a Dutch multinational, multi-product bank that offers banking services to 33 million retail and commercial customers in over 40 countries. At this scale, ING naturally faces a multitude of data consolidation tasks across its disparate sources. A common consolidation problem is fuzzy name matching: given a name (streaming) or a list of
  • Fuzzy Lookup Transformation - SQL Server Integration
  • Approximate string matching - Wikipedia
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SQL Fuzzy match (matching names not exact)

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Fuzzy text matching in Spark - Databricks Community Forum

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  • 2020-9-19 · Full name is not required to be matched, any part if matches upto the percentage is a success. For example. Given Name: Helen Hunt Name in DB: Holly Hunter Both parts of both names are not matching exactly but upto some extent, let us assume 80%, so if user enter 80% then the name in DB must be shown as matching name.
  • Fuzzy Matching with SAS: Data Analysts Tool to Cleaner …
  • The Fuzzy Lookup Add-In for Excel was developed by Microsoft Research and performs fuzzy matching of textual data in Microsoft Excel. It can be used to identify fuzzy duplicate rows within a single table or to fuzzy join similar rows between two different tables. The matching is robust to a wide variety of errors including spelling mistakes, abbreviations, synonyms and added/missing data.
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What is Fuzzy Matching? - Definition from Techopedia

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UTL_Match and Soundex for Fuzzy Matching of Data in an

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  • GitHub - pravigo/fuzzy-matching: Fuzzy matching recipe for
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Fuzzy String Search in SQL | Literate Java

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How to use fuzzy string matching with Postgresql

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  • Large Scale Fuzzy Name Matching with a Custom ML …
  • Hilfe bei der Programmierung, Antworten auf Fragen / Sql / Fuzzy Logic Matching - SQL, SQL-Server, TSQL, SQL-Server-2012, String-Matching Also, ich schaue auf die Implementierung von Fuzzy-LogikMatching in meiner Firma und Probleme haben, gute Ergebnisse zu erzielen.
  • Hi, I have 2 files that contains address and names and need to produce a master list using a fuzzy matching algorithm. Steps to follow . First check address if matching (if found one) is over 90% then check name list if names are matching over 90% then add it …
  • Fuzzy matching with Spark Download Slides. Business data comes with a lot of noise. To effectively model and analyze the vast amounts of ever growing data, we need effective tools to link and group similar entities together. In this talk, we will discuss how we have used Spark’s machine learning, distributed and in memory capabilities to

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