BigDataCube

Big Earth Datacube Analytics Made Easy

News


CODE-DE Datacube Precursor Available

While CODE-DE is preparing infrastructure the CODE-DE Datacube Precursor service has been released by Jacobs University and rasdaman GmbH. Based on sample Sentinel 1 and 2 timeseries it offers a rich set of OGC standards conformant access, formatting, filtering, processing, and general analytics functionality.


BigDataCube kick-off meeting

The BigDataCube project has kicked off, aiming to develop flexible and scalable services for massive spatio-temporal Earth Observation data. Project coordinator, Jacobs University Bremen, invited the joint research consortium, consisting of rasdaman GmbH (Bremen) , cloudeo AG (Munich) and DLR (Deutsches Zentrum für Luft- und Raumfahrt) ...




About


Project brief:

Start: 01 Jan 2018
Duration: 18 months
Find us: www.bigdatacube.org



Under the lead of Jacobs 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.

Technology


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.

Spatio-temporal sensor, image, simulation, and statistics datacubes

Optimization, Parallelization

Federation

Heterogeneous hardware support

Partners


Internationally recognized experts are teaming up for developing the next generation of services:

 

The Large-Scale Scientific Information Systems research group at Jacobs 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 Jacobs 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.

BigDataCube project team




Photo: Heike Hoenig (rasdaman GmbH)

The BigDataCube project team
(from left to right):

  • Stefan Wiehle (DLR)
  • Dr. Ursula Benz (cloudeo AG)
  • Dimitris Bellos (cloudeo AG)
  • Simon Tzvetanov (cloudeo AG)
  • Vlad Merticariu (Jacobs University, rasdaman GmbH)
  • Dr. Sven Jacobsen (DLR)
  • Brennan Bell (Jacobs University)
  • Bang Pham Huu (Jacobs University)
  • Dimitar Misev (Jacobs University, rasdaman GmbH)
  • Prof. Dr. Peter Baumann (rasdaman GmbH, Jacobs University)

Contact


Dimitar Misev (Coordinator)

  • Jacobs University & rasdaman GmbH
  • misev@rasdaman.com

Prof. Dr. Peter Baumann

  • Jacobs University & rasdaman GmbH
  • baumann@rasdaman.com

Dr. Ursula Benz

  • cloudeo AG
  • ubenz@cloudeo-ag.com

Dr. Sven Jacobsen

  • DLR
  • sven.acobsen@dlr.de