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To measure how similar or alike data is in data modeling, you can use techniques like cosine similarity, Jaccard similarity, or Euclidean distance. These methods help quantify the resemblance between data points or entities based on various attributes or features. By calculating similarity scores using these techniques, you can determine the degree of similarity between different data sets or entities in your data model.
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