00033: Standalone table's data source is not supported
Some types of data sources are not supported for optimized map services. You have referenced one of these data sources in your ArcMap document.
- Replace the unsupported data source with a supported geodatabase table. The following table lists unsupported data sources and suggested alternatives:
Unsupported data sources for optimized map services
Unsupported data sources
Convert the data to feature classes in a geodatabase.
Import CAD content into a geodatabase feature class.
Convert the tracking data to a feature class in a geodatabase.
Generate features for each Excel spreadsheet and load the resulting feature classes into a geodatabase feature class.
ArcIMS feature service
Load the original data source into a geodatabase feature class.
In-memory feature class
Save in-memory data as a feature class in a geodatabase.
NetCDF datasets are multidimensional data, most often including data for a large number of time series. You can convert individual time slices of your netCDF data into small feature classes and/or into raster datasets.
PC ARC/INFO coverage
Convert your PC ARC/INFO coverages into geodatabase feature classes.
For surfaces, you can consider generating a DEM dataset from your TIN.
- Alternatively, if you do not need the standalone table that has an unsupported data source in your map service, you can delete the table from your ArcMap document.
Generally speaking, the best performance will be achieved by using datasets that are native to ArcGIS—that is, use geodatabases and key raster and image datasets. In many cases, your unsupported datasets can be loaded into a geodatabase feature class that can then be used for creating fast dynamic map services.
For best performance with geodatabases, use either ArcSDE geodatabases and file geodatabases. In some cases with many simultaneous users, ArcSDE geodatabases are faster. Since ArcSDE geodatabases are DBMS based, they will scale better than file geodatabases in situations where you have a large number of users (hundreds of users or more).