D2.1 : Extreme Data Flow Patterns – Report

dc.contributor.author	Golasowski, Martin
dc.contributor.author	Hayek, Mohamad
dc.contributor.author	Číž, David
dc.contributor.author	Hurych, David
dc.contributor.author	Zahradník, Jan
dc.contributor.author	Harsh, Piyush
dc.contributor.author	Serbetot, Loïck
dc.date.accessioned	2024-03-14T11:32:15Z
dc.date.available	2024-03-14T11:32:15Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/10084/152343
dc.description.abstract	This deliverable of the EXA4MIND project collects and analyses data flow patterns from all the project application cases. The collected data flow descriptions are used to identify a set of common occurring patterns that will be taken into account when designing the Extreme Data Database.	cs
dc.format	37 listů : ilustrace	cs
dc.language	Neuvedeno	cs
dc.language.iso	en	cs
dc.publisher	Vysoká škola báňská – Technická univerzita Ostrava. IT4I	cs
dc.rights	Attribution-NoDerivatives 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nd/4.0/	*
dc.subject	data flow patterns	cs
dc.subject	extreme data	cs
dc.subject	application cases	cs
dc.subject	EXA4MIND	cs
dc.subject	LEXIS	cs
dc.title	D2.1 : Extreme Data Flow Patterns – Report	cs
dc.type	report	cs
dc.contributor.referee	Karagoz, Pinar
dc.contributor.referee	Freani, Jérôme
dc.description.placeofpublication	Ostrava	cs
dc.rights.access	openAccess	cs
dc.type.version	submittedVersion

Except where otherwise noted, this item's license is described as Attribution-NoDerivatives 4.0 International