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Entwickler, DBAs, Unternehmensanalysten und Studenten
Vermittelte Kenntnisse:
Verständnis des beschrifteten Property-Graphen
Property-Graph-Anwendung zur Lösung allgemeiner Modellierprobleme
Allgemeine Property-Graph-Strukturen zur Modellierung komplexer, verbundener Szenarien
Kriterien für die Auswahl verschiedener Modellieroptionen
Änderung eines bestehenden Modells zur Anpassung an neue Anforderungen
Voraussetzungen:
Sie müssen mit Neo4j vertraut sein, insbesondere mit der Cypher-Sprache. Das Material des Einführungskurses für Neo4j ist ausreichend, um diesen Kurs zu verstehen.
Kursbeschreibung:
In diesem Kurs lernen Sie, wie ein Graphdatenmodell und die zugehörigen Abfragen entwickelt und implementiert werden. Durch einen theoretischen Teil und praktische Übungen erfahren Sie, wie das Property-Graph-Modell zur Lösung allgemeiner Modellierprobleme eingesetzt wird. Außerdem lernen Sie einen vorhandenen Graphen kontrolliert weiterzuentwickeln, um ihn an neue oder geänderte Anforderungen anzupassen.
Kursinhalt:
Einführung zum beschrifteten Property-Graph-Modell
Modellierungsrichtlinien
Allgemeine Graphstrukturen
Entwickeln eines Graphmodells
Technische Voraussetzungen:
Sie benötigen einen Laptop. Es wird um frühzeitiges Erscheinen gebeten, damit das Produkt und die Übungen für den Unterricht installiert werden können.
INSTRUCTOR
Stefan Armbruster, Neo Technology
Stefan war knapp 15 Jahre lang freiberuflicher Consultant im Bereich Webapplications (inbesondere Java und Grails) und arbeitet seit knapp 5 Jahren mit Neo4j. Neben der Entwicklertätigkeit im Java-Umfeld setzt er Linux seit den Tagen des 1.0.x Kernels ein. Aktuell ist er für Neo Technology als Presales-Engineer für den europäischen Raum tätig.
Für Fragen zur Veranstaltung wenden Sie sich bitte per E-Mail an graphacademy@neotechnology.com
If you want to book more than 3 training delegates from your company and want help facilitating your booking process, please send us an E-Mail emeaevents@neo4j.com.
Please be aware that we might be forced to cancel trainings up to one week before the event. In that case you will receive notification by email suggesting alternatives, where possible. Your tickets will be refunded.
Graph Academy is the world’s leading source for developer education on graph databases.
GraphAcademy is your premier destination to access flexible and innovative learning options that you need to become a graph data professional!
GraphAcademy Training provides you with the required skills to be effective with graph data and productive with Neo4j. You will gain key modeling and implementation skills to tackle graph data management on Neo4j with ease.
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