BigDataCube
Big Earth Datacube Analytics Made Easy
Big Earth Datacube Analytics Made Easy
Project brief:
Start: 01 Jan 2018
Duration: 18 months
Find us: www.bigdatacube.org
Under the lead of Constructor University, The BigDataCube project is developing flexible and scalable services for massive spatio-temporal Earth Observation (EO) data, offered as datacubes. This paradigm replaces the millions of EO files by a few massive multi-dimensional space/time objects, such as 3D image timeseries and 4D weather forecast cubes. This way, raster data get ready for spatio-temporal analysis in the large.
Goal of BigDataCube is to enhance access to value-adding services supporting collaboration across disciplinary and geographical boundaries for industry and research. The massively simplified Big Data handling benefits users of existing services as well as new businesses, e.g., in agro-informatics: they don't need to develop or deploy complex technology and manage all data, but can use data readily, thereby freeing resources for their core business. Hence, on the BigDataCube platform novel, specialized services can be established by third parties in a fast, flexible, and scalable manner.
Concretely, the project deploys the European Datacube engine, rasdaman, in two infrastructures:
The commercial hosted processing environment of cloudeo.
Novel datacube access control and quota will safely handle both free and proprietary data provided by
Intermap and PlanetObserver.
The public service of CODE-DE, the German Copernicus hub, thereby
complementing the batch-oriented Hadoop service with interactive extraction and
processing along the paradigm of "any query, any time, on any size". DLR Bremen will
exemplarily establish a weather and ocean analytics tool based on rasdaman.
Further, CODE-DE and cloudeo services will be federated, allowing users to combine datacubes from both services without the need for downloading them first.
BigDataCube employs the multi-award-winning pioneer Array Database system, rasdaman, which enables "any query, any time, on any size" on massive n-D datacubes.
Internationally recognized experts are teaming up for developing the next generation of services:
The Large-Scale Scientific Information Systems research group at Constructor University has worldwide reputation in Array Databases and is actively shaping OGC, ISO, and INSPIRE datacube standards.
rasdaman GmbH is technology leader in high-performance Array Databases for serving datacubes and shaper of datacube standards, with Constructor University.
cloudeo is a leading specialist in scalable geo-infrastructure, bringing together data, software and processing power with its GeoMarketplace as one-stop shop for GeoServices.
The Maritime Safety and Security Lab of the DLR Earth Observation Center (EOC) has special expertise in EO-based near-real-time ocean condition assessment. In BigDataCube, DLR provides maritime wind and sea state products.
Photo: Heike Hoenig (rasdaman GmbH)
The BigDataCube project team
(from left to right):
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