You can add data from a flat file into your Cloudera Data Visualization instance. It processes this data as a new table, adding it to an existing data repository. You can then use it as a source of supplemental information for existing datasets, by creating new table joins. You can also create a new dataset that references the imported data as a primary table.
Data Visualization supports two forms of data sources: CSV and URL.
You can use the Import Data functionality to supplement existing datasets; and add this data by creating joins in the data model. Depending on your business case, you may instead choose to create a new dataset based on the data you imported.
If you must import data stored in Excel format, see Preparing Excel files for data import.