Data Profiles and Semantic Recommendations
After creating a dataset, the dataset undergoes column-level profiling to produce a set of semantic recommendations to repair or enrich your data. These recommendations are based on the system automatically detecting a specific semantic type during the profile step.
There are various categories of semantic types such as geographic locations identified by city names, a specific pattern such as a credit card number or email address, a specific data type such as a date, or a recurring pattern in the data such as a hyphenated phrase. You can also create your own custom semantic types.
In This Section
Recognized Pattern-Based Semantic Types
Reference-Based Semantic Types
Custom Knowledge Recommendations
Last Published Friday, December 8, 2023