• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. GeoRocket: A scalable and cloud-based data store for big geospatial files
 
  • Details
  • Full
Options
2020
Journal Article
Title

GeoRocket: A scalable and cloud-based data store for big geospatial files

Abstract
We present GeoRocket, a software for the management of very large geospatial datasets in the cloud. GeoRocket employs a novel way to handle arbitrarily large datasets by splitting them into chunks that are processed individually. The software has a modern reactive architecture and makes use of existing services including Elasticsearch and storage back ends such as MongoDB or Amazon S3. GeoRocket is schema-agnostic and supports a wide range of heterogeneous geospatial file formats. It is also format-preserving and does not alter imported data in any way. The main benefits of GeoRocket are its performance, scalability, and usability, which make it suitable for a number of scientific and commercial use cases dealing with very high data volumes, complex datasets, and high velocity (Big Data). GeoRocket also provides many opportunities for further research in the area of geospatial data management.
Author(s)
Krämer, Michel  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Journal
SoftwareX  
Open Access
File(s)
Download (332.92 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24406/publica-r-261283
10.1016/j.softx.2020.100409
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • Lead Topic: Visual Computing as a Service

  • Research Line: Modeling (MOD)

  • geospatial data

  • Big Data

  • distributed computing

  • database

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024