big-data-spp.de bewertung und analyse
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| GoogleBot | / | ✔ |
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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 |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 141.2.11.53 |
| Location | Germany |
Verwandte Websites
| Site | Rank |
| bigdataart.de | 0 |
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big-data-spp.de bewertung
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Euro€1,653
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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