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<\/i><\/p>\nDie API<\/h2>\n
Im Gegensatz zu klassischen BI-Tools wie JANE biete ich eine API an, mit der Daten transportiert werden k\u00f6nnen. Das bedeutet, dass mit mir eine zentrale Schnittstelle f\u00fcr die unternehmensweite Data Collection zur Verf\u00fcgung steht. Alle Applikationen k\u00f6nnen ihre Logfiles und andere interne Strukturen bei mir abladen. Diese werden in einem zentralen Datenspeicher gesammelt werden.
\nIch speichere auch unstrukturierte Daten und kann diese in Echtzeit auswerten.<\/h4>\nDie Persistenz<\/h2>\n
Als Datenspeicher nutze ich Elastic Search. Dieses Produkt ist mittlerweile in vielen Unternehmen bekannt und beliebt, so dass entsprechendes Know-How meist verf\u00fcgbar ist. Elastic Search wird meist wegen seiner m\u00e4chtigen Volltextsuchfunktion eingesetzt, die es erm\u00f6glicht, performante Suchanfragen \u00fcber grosse Datenbest\u00e4nde und Filegrenzen hinweg auszuf\u00fchren.
\nIch best\u00fccke seinen Datenspeicher in Echtzeit mit neuen Daten. In einem konkreten Anwendungsfall werden derzeit t\u00e4glich 250 Millionen Datens\u00e4tze in den Datenspeicher geladen.<\/h4>\nAuswertung in Echtzeit<\/h2>\n
Mit den im zentralen Datenspeicher abgelegten Daten \u00fcberwachen LARS-Kunden ihre wichtigsten Unterprozesse. Der LARS Datenbestand wird beispielsweise genutzt, um den \u201eGesundheitszustand\u201c von Applikationen festzustellen oder Problemsituationen anwendungs\u00fcbergreifend in den Griff zu bekommen.<\/h4>\n
LARS stellt weit mehr Informationen als \u00fcbliche Business-Intelligence-Systeme zur Verf\u00fcgung und unterst\u00fctzt Anwender bei der Analyse von Businessprozessen und Big Data. Durch die spezifische Architektur von LARS k\u00f6nnen Resultate in Echtzeit f\u00fcr Businessentscheide zur Verf\u00fcgung gestellt werden.<\/h4>\n
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LARS ist schnell, sehr schnell. Die Aufbereitung der Daten f\u00fcr die Nutzung durch den Anwender geschieht so rasant, dass wir von Echtzeitanalyse sprechen. Damit qualifiziert sich LARS f\u00fcr das Monitoring kritischer Unternehmensprozesse, bei denen es auf Verf\u00fcgbarkeit und Geschwindigkeit ankommt.<\/p>\n
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Jeder Mensch weiss, wie er mit einer Suchmaschine umgehen muss, damit er die Ergebnisse erh\u00e4lt, die er erwartet. Durch die Integration von Elastic Search als Volltext Search Engine wird diese M\u00f6glichkeiten nun auch auf Ihre Datenbest\u00e4nde ausgeweitet, die von LARS gespeichert wurden. Diese M\u00f6glichkeit erh\u00f6ht den Nutzen Ihrer Datenbest\u00e4nde massiv.<\/p>\n
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Als zentrales Tool f\u00fcr die Sammlung von Daten aller Art bietet LARS eine API an, die in Applikationen eingebunden werden kann und diese in die Lage versetzt, ihre Meldungen an den zentralen Datenspeicher zu senden. Dar\u00fcber hinaus kann LARS auch Daten aktiv von Ihren Quellsystemen holen.<\/p>\n
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Durch Zusammenf\u00fchren von Logfiles und Datenbest\u00e4nden verschiedener Quellsysteme in einem zentralen Datenspeicher wird ein v\u00f6llig neuer Blickwinkel auf die unternehmerischen Prozesse m\u00f6glich. Im Mittelpunkt der Betrachtung stehen nicht mehr einzelne Komponenten oder Applikationen, vielmehr wird ein \u00dcberblick \u00fcber Prozesse und ihre Zust\u00e4nde m\u00f6glich. Zugleich kann der LARS-Datenbestand f\u00fcr Auswertungen aller Art verwendet werden, zum Beispiel die Analyse von Fehlersituationen oder forensische Analysen.<\/p>\n
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Kontaktieren Sie uns!<\/p>\n
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Voller Durchblick f\u00fcr Ihre Entscheidungen! Wechseln Sie die Perspektive!Mit LARS verarbeiten Sie unternehmensweit Logdaten, Events und andere Kontrollinformationen. LARS