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Enhancing Data Management with NcML Aggregation and Feature Collections

NcML Aggregation and Feature Collections provide functionalities to modify objects in CDM files, especially attributes, without rewriting files. Create logical datasets, manipulate multidimensional arrays, and understand dataset semantics easily. Ensure files' homogeneity and handle inhomogeneity efficiently within NcML Aggregations. Benefit from the advanced features of Feature Collections for grid, swath, point, station, and more. Utilize NcML aggregation for stable and efficient data management.

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Enhancing Data Management with NcML Aggregation and Feature Collections

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  1. NcML Aggregation vsFeature Collections

  2. NcML functionality • Modify the objects found in CDM files • Especially Attributes • Don’t have to rewrite the files, esp on the server • Make modest changes “by hand” • Alternative to ncgen, ncdump • CDL in XML • Aggregations • Creating logical datasets out of file collections

  3. NcML Aggregations • union • Logical union of objects inside multiple files • joinNew • Each file contains one slice – add new dimension • joinExisting • Concat existing multidim arrays together • tiled (never released) • Stitch horizontal tiles together • FMRC (deprecated as of 4.2)

  4. NcML Aggregations • Syntactic aggregation • Manipulating multidimensional arrays • Doesn’t know what the data means • High homogeneity requirements • Files must be identical, except for certain things • Difficult for Users to understand or to track • Assemble at runtime • Inefficient for large collections • Caching strategies cause trouble for dynamic datasets

  5. Feature Collections • Feature Types • Coverage: grid, swath, FMRC, ugrid*, image* • Discrete: point, station, profile, etc • Radial • Understands more of the dataset semantics • Mostly about the coordinate systems • Can “do the right thing” without user • Handle more inhomogeneity in the files * Coming soon

  6. Application Scientific Feature Types Datatype Adapter NetCDF-Java/ CDM architecture NetcdfDataset CoordSystem Builder NetcdfFile THREDDS I/O service provider Catalog.xml OPeNDAP NetCDF-3 NIDS NetCDF-4 GRIB NcML HDF5 GINI Nexrad DMSP

  7. What do you need to know? • NcML aggregation works and is stable code • Must know how your collection of files varies • Use it for simple cases • Feature Collections are still work in progress • Much easier to work with • All future development is here • You have our attention • If you have GRIB files • You want to use GRIB feature collections (4.3)

  8. Good Luck!

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