9-11 October 2018
Lisbon
Europe/Lisbon timezone

Big Datacube Security, Down to Pixel Level

Not scheduled
15m
Lisbon

Lisbon

ISCTE, University of Lisbon
Poster Posters

Speaker

Peter Baumann (rasdaman GmbH)

Description

Datacubes represent an emerging paradigm on science and engineering data which is based on aligning multi-dimensional data, such as spatio-temporal datacubes, into few, homogeneous objects ready for direct analytics by data scientists. Of particular value are flexible query language interfaces allowing to ask any query, any time. However, offering such Big Datacubes harbours new challenges: they are way too large to act as units for access control. Rather, arbitrary regions inside datacubes must be protected. For example, the European Centre for Medium-Range Weather Forecast (ECMWF) offers the long tail of climate data for free while the last two weeks are subject to payment. We present an approach which enables datacube access control down to the level of single values, using a declarative approach. This capability is part of the European datacube engine, rasdaman, which also is blueprint for datacube standards in ISO, OGC, and INSPIRE.

Summary

Offering Big Datacubes poses new access control challenges as they are way too large to act as units for access. Rather, arbitrary regions inside datacubes must be protected. We present an approach which enables datacube access control down to the level of single values, using a declarative approach. This capability is part of the European datacube engine, rasdaman, which also is blueprint for datacube standards in ISO, OGC, and INSPIRE.

Type of abstract Presentation

Primary author

Peter Baumann (rasdaman GmbH)

Presentation Materials

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