Auger currently supports tabular data sources loaded in four ways.
Local csv or arff files compressed with (gzip, bz2, zip, xz). This can be very slow depending on your network and only recommended for small to medium size files.
Once you have uploaded a file it will be saved and available in your accounts s3 bucket. You can select this file to create a new experiment with or try one of our sample datasets provided.
The fastest way to get your file uploaded and recommended for large files is to have it hosted with a publicly accessible url.
A remote postgres url can be used to connect a postgres database table to Auger to load as a data source.
For example, a typical remote url would have the format, postgres://username:password@host:5432/database.