rasdaman Quickstart

rasdaman is a Big Data Engine for flexible ad-hoc analytics on multi-dimensional spatio-temporal sensor, image, simulation, and statistics data of unlimited size.

Exploring the 1-D to 4-D examples

OSGeo Live contains a multitude of interactive 1D through 4D rasdaman demos.

• Go to the multi-dimensional demo to explore these demos.
• The small ones are part of OSGeo-Live, those utilizing larger sets (beyond this drive’s capacity) forward to the OGC standards showcase site .

Running queries on the OSGeo database

• Open a console, type in commands for sending queries and receive results. Here is an example combining red and blue bands from a sample RGB image:

  $ rasql -q "select png( rgb.red + rgb.blue ) from rgb" --out file --filename osgeo.png
  

• use your favorite image inspection tool to open the file generated.

Things to Try

Here are some additional challenges for you to try:

• Experiment with your own queries; the rasql query language guide is your friend.
• To learn more about the OGC Web Coverage Processing Service (WCPS) Language standard (which was heavily inspired by rasdaman); a good starting point is the documentation and tutorials page .
• Interested in coverage data and services in general? Visit OGC’s Coverages Domain Working Group wiki.

Create your own database

• Open a console, Download and install rasdaman and its prerequisites, run the demo ingestion script:

  $ install_demo.sh
  

• use the rasql utility for querying, for example the one from above or this one:

  $ rasql -q "select csv( marray bucket in [0:255] values count_cells( rgb.red = bucket ) ) from rgb --out string"
  

• add your own datasets (see http://www.rasdaman.org/wiki/PetascopeUserGuide for details), publish them via OGC services.