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  • One Vendor, Four Spellings: How Deterministic Stages Beat Similarity Scores
  • <![CDATA[The Mechanics of Analyzing Linked Data Sets]]>
  • Avoiding Entity Key Drift in a Data Lake: Step 2, When Fuzzy Matching Stops Working

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towardsdatascience.com /1 month ago

One Vendor, Four Spellings: How Deterministic Stages Beat Similarity Scores

Deduplicating a 10,000-row supplier list in Python, where the hard part is deciding what a similarity score of 91 means The post One Vendor, Four Spellings: How Deterministic Stage...

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pharmexec.com /1 month ago

&lt;![CDATA[The Mechanics of Analyzing Linked Data Sets]]&gt;

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towardsdatascience.com /1 month ago

Avoiding Entity Key Drift in a Data Lake: Step 2, When Fuzzy Matching Stops Working

I built a matcher meant to finish the cleanup that normalization left behind. Testing it against real data showed that no version of it could be made safe. What follows is the arch...

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pharmexec.com

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