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https://dx.doi.org/10.48711/20...
Article . 2023
License: CC BY
Data sources: Datacite
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Geodatenverarbeitung mit Workflow-Engines

Spatial data processing with workflow engines
Authors: Kalberer, Pirmin;

Geodatenverarbeitung mit Workflow-Engines

Abstract

Workflow-Engines wie Apache Airflow sind ein wichtiges Instrument im Bereich Data Science. Sie bieten die Infrastruktur zum Definieren, Ausführen und Überwachen einer Abfolge von Schritten eines Datenverarbeitungsprozesses. Dieser Beitrag vergleicht eine Auswahl verfügbarer Open-Source Workflow-Engines, die sich besonders für Workflows mit Geodatenverarbeitung eignen. Zudem wird der OGC API – Processes-Standard, ein REST-API zur Ausführung und Überwachung von Prozessen vorgestellt.

FOSSGIS 2023: Anwenderkonferenz für Freie und Open Source Software für Geoinformationssysteme, Open Data und OpenStreetMap, p. 154

Keywords

Business Process Model and Notation (BPMN), Camunda, Open-Source Workflow-Engines, Datenprozessierung, OGC API - Processes-Standard, gerichtete azyklische Graphen (DAG), Workflow-Engines, database, BPMN Workflow Engine, Open Geospatial Consortium (OGC), Daten -- Datenbank -- Datenprozessierung -- Data Science -- Geodatenverarbeitung -- Geodatenvisualisierung -- Workflow-Engines -- Apache Airflow -- Open-Source Workflow-Engines -- gerichtete azyklische Graphen (DAG) -- Dagster -- Business Process Model and Notation (BPMN) -- BPMN Workflow Engine -- Camunda -- Open Geospatial Consortium (OGC) -- OGC API - Processes-Standard, Data Science, Apache Airflow, article, Datenbank, data -- database -- data processing -- spatial data processing -- spatial data visualization -- directed acyclic graph (DAG), Daten, Dagster, 520, Geodatenvisualisierung, spatial data processing, directed acyclic graph (DAG), data, Geodatenverarbeitung, spatial data visualization, data processing, ddc: ddc:520

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green