Klicken Sie hier, um den ganzen Artikel zu lesen<\/a><\/p>","protected":false},"excerpt":{"rendered":"Im folgenden Artikel, der von CrateDB ver\u00f6ffentlicht wurde, beschreibe ich detailliert die Architektur, die Gr\u00fcnde, die M\u00f6glichkeiten, die Herausforderungen und deren Bew\u00e4ltigung bei der Bereitstellung einer Big-Data-Streaming-Architektur f\u00fcr die Produktion, die f\u00fcr die Aufnahme gro\u00dfer Mengen von Geodaten konzipiert wurde, und wie Cloud-native Ressourcen in Azure und Kubernetes verwendet wurden, um eine global skalierbare … Verfolgung von Lieferungen in Echtzeit in einer Cloud-nativen Big-Data-Streaming-Architektur mit CrateDB, Microsoft Azure und Kubernetes<\/span><\/a><\/p>","protected":false},"author":1,"featured_media":1293,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[4],"tags":[],"class_list":["post-874","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"yoast_head":"\nReal time delivery tracking in a cloud native Big Data streaming architecture with CrateDB, Microsoft Azure and Kubernetes | Axelsson Consulting<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/axelssoncloudconsulting.com\/de-de\/nachrichten\/echtzeit-lieferverfolgung-in-einer-cloud-nativen-big-data-streaming-architektur-mit-cratedb-microsoft-azure-und-kubernetes\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Real time delivery tracking in a cloud native Big Data streaming architecture with CrateDB, Microsoft Azure and Kubernetes | Axelsson Consulting\" \/>\n<meta property=\"og:description\" content=\"In the below article, published by CrateDB, I go into detail describing the architecture, rationale, opportunities, challenges and how to tackle them when deploying a Big Data streaming architecture to production, designed for ingesting vast amounts of geospatial data and how cloud native resources in Azure and Kubernetes were used to create a globally scalable ... 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