{"id":30414,"date":"2025-09-04T18:54:00","date_gmt":"2025-09-04T18:54:00","guid":{"rendered":"https:\/\/www.tenthrevolution.com\/?p=30414"},"modified":"2025-10-08T10:23:45","modified_gmt":"2025-10-08T10:23:45","slug":"datentechnik-fur-die-genai-ara-aufbau-von-gebrauchsfertigen-pipelines","status":"publish","type":"post","link":"https:\/\/stage.tenthrevolution.com\/de\/data-ai\/data-engineering-for-the-genai-era-building-rag-ready-pipelines\/","title":{"rendered":"Datentechnik f\u00fcr die GenAI-\u00c4ra: Aufbau von RAG-f\u00e4higen Pipelines"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"30414\" class=\"elementor elementor-30414\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-12ebe0e e-flex e-con-boxed e-con e-parent\" data-id=\"12ebe0e\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9ceedc2 elementor-widget elementor-widget-text-editor\" data-id=\"9ceedc2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Datentechnik war schon immer ein zentraler Bestandteil von Analysen und Berichten, aber im Zeitalter der generativen KI nimmt ihre Rolle drastisch zu.<\/strong><\/p><p>Retrieval-Augmented Generation (RAG) entwickelt sich zu einem Eckpfeiler der KI in Unternehmen und erm\u00f6glicht es Modellen, ihre Ergebnisse auf eigenes Wissen zu st\u00fctzen. Damit RAG in gro\u00dfem Umfang funktioniert, ben\u00f6tigen Unternehmen Pipelines, die hochwertige, kontextbezogene und aktuelle Daten liefern. Diese Nachfrage ver\u00e4ndert die Anforderungen an einen Dateningenieur.<\/p><h2>Das neue technische Profil<\/h2><p>Von den Dateningenieuren von heute wird weit mehr erwartet als die Erstellung von ETL-Workflows. Sie entwickeln jetzt Systeme, die KI-Anwendungen mit den richtigen Informationen zur richtigen Zeit versorgen k\u00f6nnen. Dieser Wandel erfordert eine Reihe neuer F\u00e4higkeiten und Tools, darunter:<\/p><ul><li><p><strong>Architekturen von Seeh\u00e4usern<\/strong> wie Delta Lake, Apache Iceberg und Hudi, die die Flexibilit\u00e4t von Data Lakes mit der Zuverl\u00e4ssigkeit von Warehouses verbinden.<\/p><\/li><li><p><strong>Streaming-Pipelines<\/strong> die neue Daten in Echtzeit \u00fcbertragen, um sicherzustellen, dass die Modelle Zugang zu den aktuellsten Informationen haben.<\/p><\/li><li><p><strong>Transformations-Rahmenwerke wie dbt<\/strong> um team\u00fcbergreifend eine konsistente Logik und Dokumentation zu erstellen.<\/p><\/li><li><p><strong>Vektorisierung und Einbettung<\/strong> die Datens\u00e4tze f\u00fcr die semantische Suche vorbereiten, so dass KI-Modelle den Kontext pr\u00e4zise abrufen k\u00f6nnen.<\/p><\/li><\/ul><p>Diese F\u00e4higkeiten machen den Unterschied zwischen KI-Systemen, die halluzinieren, und solchen, die vertrauensw\u00fcrdige, unternehmenstaugliche Ergebnisse liefern.<\/p><p><em>\ud83d\udc49 RAG-Pipelines sind das R\u00fcckgrat einer unternehmenstauglichen KI. Wir helfen Ihnen, Dateningenieure mit Lakehouse-, Streaming- und Vektorisierungs-Know-how zu rekrutieren, um Ihre Systeme zukunftssicher zu machen. <\/em><a href=\"https:\/\/www.tenthrevolution.com\/services\/finding-talent\/\"><em>Finden Sie Ihre n\u00e4chste gro\u00dfe Datenanstellung<\/em><\/a><\/p><h2>Warum Abrufe wichtig sind<\/h2><p>Generative KI-Modelle sind leistungsstark, aber nur so genau wie die Daten, auf die sie zugreifen k\u00f6nnen. Ohne zuverl\u00e4ssigen Abruf werden die Ergebnisse inkonsistent, veraltet oder sogar irref\u00fchrend. In Branchen wie dem Finanz-, Gesundheits- oder Rechtswesen sind solche Fehler nicht nur l\u00e4stig, sondern k\u00f6nnen auch zu regulatorischen Risiken oder Reputationssch\u00e4den f\u00fchren.<\/p><p>Aus diesem Grund wird so viel in Retrieval-Pipelines investiert. RAG 2.0-Techniken wie hierarchisches Chunking, hybride Suche und Multi-Hop-Retrieval erm\u00f6glichen es KI-Systemen, ihre Antworten mit gr\u00f6\u00dferer Genauigkeit und Transparenz auf Unternehmenswissen zu gr\u00fcnden.<\/p><p>F\u00fcr Unternehmen bedeutet dies, dass Kundenservice-Tools konsistente Antworten geben, Compliance-Teams sich auf KI-Ergebnisse verlassen k\u00f6nnen und Analysten echte Einblicke statt allgemeiner Zusammenfassungen erhalten.<\/p><p><em>\ud83d\udc49 M\u00fcssen Sie Ihre KI-Datengrundlagen st\u00e4rken? Unser Team kann Sie mit vertrauensw\u00fcrdigen Technologietalenten zusammenbringen, die semantische Schichten und Abrufpipelines aufbauen, die Gen AI zuverl\u00e4ssig machen. <\/em><a href=\"https:\/\/www.tenthrevolution.com\/services\/finding-talent\/\"><em>Finden Sie Ihre n\u00e4chste gro\u00dfe Datenanstellung<\/em><\/a><\/p><h2>Konkrete gesch\u00e4ftliche Vorteile<\/h2><p>Bei der Investition in RAG-f\u00e4hige Pipelines geht es nicht nur um die Verbesserung der Genauigkeit. Sie bringen eine Reihe von Vorteilen mit sich, die F\u00fchrungskr\u00e4fte ber\u00fccksichtigen sollten:<\/p><ul><li><p><strong>Verbesserte Genauigkeit<\/strong> da die Modellergebnisse auf verifizierten Unternehmensdaten beruhen.<\/p><\/li><li><p><strong>Schnellere Entwicklungszyklen<\/strong> die den Weg von den Rohdaten zu produktionsreifen Anwendungen verk\u00fcrzen.<\/p><\/li><li><p><strong>Einhaltung von Vorschriften<\/strong> durch Datenverkn\u00fcpfung und Zugangskontrollen, die Pr\u00fcfer und Regulierungsbeh\u00f6rden zufrieden stellen.<\/p><\/li><li><p><strong>Differenzierung im Wettbewerb<\/strong> durch die Einbettung von propriet\u00e4rem Wissen in KI-Dienste, das von Konkurrenten nicht einfach nachgeahmt werden kann.<\/p><\/li><\/ul><p>Unternehmen, die diesen F\u00e4higkeiten Priorit\u00e4t einr\u00e4umen, sind besser positioniert, um KI-Systeme bereitzustellen, denen Kunden, Aufsichtsbeh\u00f6rden und Mitarbeiter vertrauen k\u00f6nnen.<\/p><h2>Strategischer Wert f\u00fcr die F\u00fchrung<\/h2><p>F\u00fcr F\u00fchrungskr\u00e4fte ist das Aufkommen von RAG-ready Engineering ein klares Signal, dass KI und Datenstrategie zusammenwachsen. Der Aufbau effektiver KI-Systeme h\u00e4ngt nicht mehr nur von der Auswahl des richtigen Modells ab, sondern auch von der Qualit\u00e4t, Governance und Zug\u00e4nglichkeit der Daten, die das Modell nutzen kann.<\/p><p>Durch die Einstellung von Ingenieuren, die sich mit Lakehouse-Technologien, Streaming-Architekturen und semantischen Schichten auskennen, stellen F\u00fchrungskr\u00e4fte sicher, dass ihre Unternehmen f\u00fcr diese n\u00e4chste Welle der KI-Einf\u00fchrung ger\u00fcstet sind. Diese Fachleute sind nicht nur Datenklempner, sondern erm\u00f6glichen eine genaue, konforme und wirkungsvolle KI.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-53953fb elementor-cta--layout-image-left elementor-cta--skin-classic elementor-animated-content elementor-widget elementor-widget-call-to-action\" data-id=\"53953fb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"call-to-action.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-cta\">\n\t\t\t\t\t<div class=\"elementor-cta__bg-wrapper\">\n\t\t\t\t<div class=\"elementor-cta__bg elementor-bg lazyload\" style=\"background-image:inherit;\" role=\"img\" aria-label=\"Bild von multiethnischen jungen weiblichen und m\u00e4nnlichen Mitarbeiter sitzen am Tisch und arbeiten auf Laptops im B\u00fcro\" data-bg-image=\"url(https:\/\/stage.tenthrevolution.com\/wp-content\/uploads\/2025\/03\/image-of-multiethnic-young-coworkers-working-on-la-2025-02-14-20-08-46-utc-1024x683.jpg)\"><\/div>\n\t\t\t\t<div class=\"elementor-cta__bg-overlay\"><\/div>\n\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-cta__content\">\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<h2 class=\"elementor-cta__title elementor-cta__content-item elementor-content-item\">\n\t\t\t\t\t\t<b>Suchen Sie nach Dateningenieuren, die in der Lage sind, RAG-f\u00e4hige Pipelines zu erstellen?<\/b>\t\t\t\t\t<\/h2>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-cta__description elementor-cta__content-item elementor-content-item\">\n\t\t\t\t\t\tWir helfen Ihnen, vertrauensw\u00fcrdige Technologietalente zu finden, die Ihre Daten f\u00fcr den Abruf, das Streaming und die KI-Integration vorbereiten k\u00f6nnen, damit Ihre GenAI-Systeme genau, konform und bereit zur Skalierung sind.\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-cta__button-wrapper elementor-cta__content-item elementor-content-item\">\n\t\t\t\t\t<a class=\"elementor-cta__button elementor-button elementor-size-\" href=\"https:\/\/www.tenthrevolution.com\/services\/finding-talent\/\">\n\t\t\t\t\t\tLos geht's\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Finden Sie heraus, warum KMUs und Unternehmen gleicherma\u00dfen RAG-f\u00e4hige Dateningenieure brauchen, die in Lakehouse-Technologie, Streaming, Dbt und Vektorisierung ausgebildet sind, um generative KI zu f\u00f6rdern.<\/p>","protected":false},"author":2,"featured_media":30675,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[74,76],"tags":[],"class_list":["post-30414","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-ai","category-hiring-advice"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data engineering for the GenAI era: Building RAG-ready pipelines<\/title>\n<meta name=\"description\" content=\"Find out why SMBs and enterprises alike need RAG-ready data engineers skilled in lakehouse tech, streaming, dbt, and vectorization to fuel generative AI.\" \/>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta 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