When Trillium imports your data, it runs an analysis to discover the various structural elements of your data. Data structures are defined by the number of entities (tables and files), rows (rows of records), and attributes (columns or fields) you import to a repository.
From the Summary Data and the Navigation Views, you view the following structure elements:
- Sources of data tables or files (entities)
- Number of fields and columns (attributes)
- Number of records or rows (rows)
- Types of data values
- Minimum and maximum lengths of data values
- Distinct values in attributes and rows
- Statistics for frequency counts
- Rows with NULL values
- Soundexes and metaphones
- Existing masks and patterns for values
- Statistics for value counts, frequency, distribution, and matching rows
Note: You can create Baseline
Analysis projects to group one or more entities, attributes, and permanent joins
stored in a repository to help organize your data.