─ a database extension for manipulating and querying
                  multidimensional gridded datasets



          Barrodale Computing Services Ltd. (BCS)
What is Gridded Data?
                                                                                             40m,30m,-98m




                                                                                             40m,30m,-99m




 DEPTH
                                                (t3,s3,p3)


   `                                                                                         40m,30m,-100m



                                                                               NORTHING

                                                                             40m,20m,-100m
                                            (t1,s1,p1)        (t2,s2,p2)

  10m,10m,-100m   20m,10m,-100m        30m,10m,-100m         40m,10m,-100m


                                  EASTING


                                                                                                             2
Grid Concepts – “Dimension”
Some examples:
 1-D Grid: e.g., a set of temperature measurements taken at
  various depths in a vertical line in the ocean
 2-D Grid: e.g., a set of these 1-D grids at different points
  along an east-west line.
 3-D Grid: e.g., a set of these 2-D grids at different points
  along a north-south line
 4-D Grid: e.g., a set of these 3-D grids, each pertaining to a
  different day and time


                                                                   3
Gridded Data Application Areas
Modeling applications
   Meteorology
   Oceanography
   Climate Modeling
   Fluid Dynamics
Data analysis applications
 Nondestructive testing
 Geophysics
 Medical Imaging

                                 4
Medical Imaging




                  5
Navy use of the Grid DataBlade




                                 6
Grids and the Grid DataBlade
For storage and manipulation of grids, where
 data volumes are too large to be kept in memory, or
 data extractions are small relative to the amount of
  data stored, or
 the data needs some form of resampling

BCS's Grid DataBlade can
 efficiently handle very large multidimensional
  gridded datasets
 speed up extraction of data products 50-fold or more
 rapidly generate subsampled data along parallel or
  oblique axes
                                                         7
For more information …
 Website: http://www.barrodale.com




 Contact: BCSInfo@barrodale.com or (250) 412-7428
 More: http://www.barrodale.com/GridBladeinDepth.pdf
                                                        8

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Grid DataBlade - short

  • 1. ─ a database extension for manipulating and querying multidimensional gridded datasets Barrodale Computing Services Ltd. (BCS)
  • 2. What is Gridded Data? 40m,30m,-98m 40m,30m,-99m DEPTH (t3,s3,p3) ` 40m,30m,-100m NORTHING 40m,20m,-100m (t1,s1,p1) (t2,s2,p2) 10m,10m,-100m 20m,10m,-100m 30m,10m,-100m 40m,10m,-100m EASTING 2
  • 3. Grid Concepts – “Dimension” Some examples:  1-D Grid: e.g., a set of temperature measurements taken at various depths in a vertical line in the ocean  2-D Grid: e.g., a set of these 1-D grids at different points along an east-west line.  3-D Grid: e.g., a set of these 2-D grids at different points along a north-south line  4-D Grid: e.g., a set of these 3-D grids, each pertaining to a different day and time 3
  • 4. Gridded Data Application Areas Modeling applications  Meteorology  Oceanography  Climate Modeling  Fluid Dynamics Data analysis applications  Nondestructive testing  Geophysics  Medical Imaging 4
  • 6. Navy use of the Grid DataBlade 6
  • 7. Grids and the Grid DataBlade For storage and manipulation of grids, where  data volumes are too large to be kept in memory, or  data extractions are small relative to the amount of data stored, or  the data needs some form of resampling BCS's Grid DataBlade can  efficiently handle very large multidimensional gridded datasets  speed up extraction of data products 50-fold or more  rapidly generate subsampled data along parallel or oblique axes 7
  • 8. For more information …  Website: http://www.barrodale.com  Contact: BCSInfo@barrodale.com or (250) 412-7428  More: http://www.barrodale.com/GridBladeinDepth.pdf 8

Editor's Notes

  • #3: Here’s a piece of a gridded dataset created by recording ocean measurements every hour at spacings every one meter in depth and every ten meters in two horizontal dimensions (northing and easting). This dataset is a 4D grid having three spatialdimensions (northing, easting, and depth) and one temporaldimension, which is not shown here.Three variables (temperature, salinity, and pressure) are attached to each grid point, as illustrated in the diagram.
  • #4: Gridded data comes in a variety of shapes and sizes. By shape, we mean the number of dimensions the grid has and by size, we mean the number of points in each dimension.
  • #5: Broadly speaking, gridded data arise in two main areas of application: modeling applications –often involving the numerical solution of differential equations – and data analysis applications.
  • #6: This slide demonstrates extraction of an oblique slice of a 3D gridded dataset. The ability to extract oblique slices efficiently is an important feature of the BCS Grid DataBlade; it has application not only in medical imaging, but also in non-destructive testing, exploration for diamonds, meteorology, hydrology, oceanography, etc.
  • #7: The Navy generates weather and ocean forecasts on a global basis, leading to very large gridded databases of environmental attributes that are updated several times per day. Often, all that the user requires is a “slice” or perhaps a “stick” of such information. The Grid DataBlade processes queries on the database server, thereby minimizing the amount of network input/output and client-side CPU time required.
  • #8: The Grid DataBlade is ideally suited for applications involving any of the requirements listed in the top three bullets; in short, the Grid DataBlade makes it easy to work effectively and efficiently with gridded data in a database.
  • #9: This concludes our mini presentation on the Grid DataBlade─ a database extension for handling multidimensional gridded datasets. Thank you for your interest. For more information please visit our website, send us an email, or give us a call.The final bullet above points to an in-depth down-loadable presentation on the Grid DataBlade. Goodbye for now.