HDF AND HDF-EOS WORKSHOP II (1998)

1. HDF-EOS Datablade:
Efficiently Serving Earth Science Data
http://heineken.gsfc.nasa.gov/hdfeos/

2. What is a Datablade?
Image
HDF-EOS
Spatial
DataBlade API
Text
Web
Extending the server by
adding DataBlades: new Types
and new functions
Extensible
OR Engine
Scaleable
Data
Manager
INFORMIX-Universal Server
http://heineken.gsfc.nasa.gov/hdfeos/

3. What does the HDF-EOS Datablade
provide?
• Inventory management of large volume data and
metadata
• Flexible access to the data as a file or BinaryLarge-Object inside the database.
• Cross-granule searching and subsetting
• Re-use other datablades such as spatial search
tools from Informix
• Implements Grid subsetting operations in the
Database
http://heineken.gsfc.nasa.gov/hdfeos/

4. Plans for the Second Year
•
•
•
•
Implement Swath, Point, HDF datatypes
General subsetting tool: stored queries
Metadata search and query tools
Implement MISR Quality-Assessment database
http://heineken.gsfc.nasa.gov/hdfeos/

5. HDF-EOS Datablade Software Architecture
Informix DB
SQL
SQL
InterInterface
face
and
API
HDF-EOS
C library
(Unchanged)
Valuable
Data
Exposed
in Searchable
Tables
File
I/O
Emulator
http://heineken.gsfc.nasa.gov/hdfeos/
Granules
in
File
System
Granules
in
Informix

6. Overlapping Granule Scenario
Latitude
90
80
70
60
50
40
30
20
10
Subset: Lat: 65 to 75
Lon: 15 to 25
0
1
2
3
4
10
30
50
70
90
Longitude
http://heineken.gsfc.nasa.gov/hdfeos/

7. Overlapping Granule Scenario
Latitude
90
80
70
60
50
40
30
20
10
Subset: Lat: 65 to 75
Lon: 15 to 25
0
1
2
3
4
10
30
50
70
90
Longitude
http://heineken.gsfc.nasa.gov/hdfeos/