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HDF-EOS Datablade: Efficiently Serving Earth Science Data

The HDF-EOS Datablade provides efficient inventory management, flexible access, cross-granule searching, and more for large volume earth science data. Learn about its architecture and how it extends the capabilities of INFORMIX-Universal Server.

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HDF-EOS Datablade: Efficiently Serving Earth Science Data

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  1. HDF-EOS Datablade:Efficiently Serving Earth Science Data

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

  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 Binary-Large-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

  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

  5. HDF-EOS Datablade Software Architecture Informix DB Granules in File System HDF-EOS C library (Unchanged) SQL Inter- face and API SQL Inter- face File I/O Emulator Valuable Data Exposed in Searchable Tables Granules in Informix

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

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