TripleBlind supports a wide variety of data storage options. For most data,
this is achieved via the TabularDataset abstraction layer illustrated below.

        DatasetAsset
            TabularDataset
                CSVDataset
                DatabaseDataset
                    BigQueryDatabase
                    MongoDatabase
                    RedshiftDatabase
                    SnowflakeDatabase

A TabularDataset can be thought of as a table of data, with each column
representing a field and each row representing a complete data record.
For example:

     StudentID      Name       Gender      DOB
     342451         Steve      M           2010-07-14
     815731         Shawna     F           2008-04-12
     918345         Joe        M           2009-02-07

This data could be housed within any of the data methods listed above.
With a CSVDataset, the content of the table is explicitly stored on
the storage connected to the access point within the asset file.  With
all of the other DatabaseDataset types, the asset file only contains
the connection information to the database, the actual data is held in
the database and not on the access point.

Examples in this folder demonstrate using the various connectors.
