In the schema mapping workflow, you design the unified schema by mapping the attributes, or columns, in input datasets to unified attributes, which trains the model for recommending subsequent mappings.
In a mastering project, you are responsible for:
- Defining the blocking model to optimize the number of comparisons Tamr Core makes to identify matching and non-matching records.
- Labelling an initial set of record pairs to train the model.
- Running jobs to train the model with the feedback that team members provide on record pairs and clusters.
In a golden records project, you are responsible for configuring the rules that consolidate a cluster of records from a mastering project into a single golden record with data values that best represent the single entity represented by that cluster.
In a categorization project, you are responsible for:
- Uploading and, if necessary, editing the taxonomy used to categorize records.
- Categorizing a subset of records to train the model.
- Running jobs to train the model with the feedback that team members provide on record categorizations.
You can also define transformations in schema mapping, mastering, and categorization projects to modify the unified dataset. For example, you can concatenate first and last name fields, remove whitespace, or apply consistent date formatting.
Updated about 2 months ago