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Untersuchung der Migration einer MySQL basierten Monitoring & Data-Warehouse Lösung nach Hadoop

Untersuchung der Migration einer MySQL basierten Monitoring & Data-Warehouse Lösung nach Hadoop

          
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About the Book

Masterarbeit aus dem Jahr 2012 im Fachbereich Informatik - Angewandte Informatik, Note: 1.0, Hochschule für Technik und Wirtschaft Berlin, Sprache: Deutsch, Abstract: Die escape GmbH betreibt ein MySQL basiertes Dataware-House in das Daten aus verschiedenen Webpräsenzen fließen, um dort ausgewertet zu werden. Nach Jahren des erfolgreichen Betriebs nimmt mit der ständig steigenden Menge an gespeicherten Daten die Leistung des Systems allerdings ab. Die Laufzeiten für Auswertungen steigen und die Agilität sinkt. Kleine Optimierungen und Veränderungen des Systems können das Unbrauchbarwerden hinauszögern, als aber aus Gründen der Leistung auf einen Teil der Abfragen verzichtet werden muss, wird schließlich klar, dass nur eine grundlegende Veränderung des Systems den langfristigen Betrieb sicherstellen kann. Aus diesem Grund wurde nach Technologien gesucht, deren Fähigkeiten die Leistung des bestehenden Dataware-Houses verbessern können. Dies führte zu Hadoop [Fouc][Whi10a], einem Open Source Framework, welches die Verarbeitung von riesigen Datenmengen in einem Cluster erlaubt. Diese Arbeit untersucht, wie Komponenten des bisherigen Systems durch Dienste von Hadoop ersetzt werden können. Sie wertet die Möglichkeiten zur Strukturierung von Daten in einer spaltenbasierten Datenbank aus, evaluiert in einem Benchmark, wie sich die Zeit von Abfragen im Verhältnis zu einer stetig steigenden Datenmenge verhält und analysiert detailliert den Ressourcenverbrauch des Clusters und dessen Knoten. Die Implementierung zeigt, dass sich die spaltenbasierten Datenbank HBase sehr gut zum Speichern von einer sehr großen Menge an semistrukturierten Daten eignet und die Dataware-House Komponente Hive durch die Unterstützung eines SQL ähnlichen Syntax das Erstellen von Abfragen komfortabel ermöglicht. Die Literatur beschreibt, dass HBase automatisch linear mit dem Hinzufügen von neuen Knoten skaliert. Der durchgeführte Benchmark zeigt, dass die Ausführungs-Zeit der getesteten Abfragen fast g


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Product Details
  • ISBN-13: 9783656440475
  • Publisher: Grin Publishing
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Spine Width: 6 mm
  • Width: 148 mm
  • ISBN-10: 3656440476
  • Publisher Date: 25 Jul 2013
  • Height: 210 mm
  • No of Pages: 106
  • Series Title: German
  • Weight: 149 gr


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