big-data-spp.de bewertung und analyse

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Meta Tags
Title Home
Description Algorithms for BIG DATA | DFG Schwerpunktprogramm Algorithms for BIG DATA | DFG Schwerpunktprogramm 1736 Username Password !--> Home News Projects Publications & Awards Events Press Coordination Imprin
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Server Information
WebSite big-data-spp faviconbig-data-spp.de
Host IP 141.2.11.53
Location Germany
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big-data-spp.de bewertung
Euro1,653
Zuletzt aktualisiert: 2022-06-06 17:23:24

big-data-spp.de hat Semrush globalen Rang von 16,067,756. big-data-spp.de hat einen geschätzten Wert von € 1,653, basierend auf seinen geschätzten Werbeeinnahmen. big-data-spp.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in Germany mit der IP-Adresse 141.2.11.53. Laut SiteAdvisor ist big-data-spp.de sicher zu besuchen.

Verkehr & Wertschätzungen
Kauf-/Verkaufswert Euro€1,653
Tägliche Werbeeinnahmen Euro€49,590
Monatlicher Anzeigenumsatz Euro€16,530
Jährliche Werbeeinnahmen Euro€1,102
Tägliche eindeutige Besucher 551
Hinweis: Alle Traffic- und Einnahmenwerte sind Schätzungen.
DNS Records
Host Type TTL Data
big-data-spp.de. A 300 IP: 141.2.11.53
big-data-spp.de. NS 300 NS Record: ns1.domaindiscount24.net.
big-data-spp.de. NS 300 NS Record: ns3.domaindiscount24.net.
big-data-spp.de. NS 300 NS Record: ns2.domaindiscount24.net.
big-data-spp.de. MX 300 MX Record: 10 smtp-relay.informatik.uni-frankfurt.de.
HtmlToTextCheckTime:2022-06-06 17:23:24
Algorithms for BIG DATA | DFG Schwerpunktprogramm 1736 Username Password !--> Home News Projects Publications & Awards Events Press Coordination Imprint & Data privacy Search ... You are here: Home BIG DATA Computer systems pervade all parts of human activity and acquire, process, and exchange data at a rapidly increasing pace. As a consequence, we live in a Big Data world where information is accumulating at an exponential rate and often the real problem has shifted from collecting enough data to dealing with its impetuous growth and abundance. In fact, we often face poor scale-up behavior from algorithms that have been designed based on models of computation that are no longer realistic for big data. While it is getting more and more difficult to build faster processors, the hardware industry keeps on increasing the number of processors/cores per board or graphics card, and also invests into improved storage technologies. However, all these investments are in vain, if we lack
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Date: Fri, 29 Apr 2022 08:30:07 GMT
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