{
 "id": "topic:refresh",
 "name": "Refresh",
 "typ": "thema",
 "slug": "refresh",
 "stand": "2026-09-07",
 "build": "20260907-1949",
 "zitieren_als": "Daten-WG, <Dokumenttitel>, <mm:ss>, <url>",
 "url": "https://datenwgknowledgekitchen.com/wissensgraph/thema/refresh.html",
 "canonical": "https://datenwgknowledgekitchen.com/wissensgraph/thema/refresh.html",
 "markdown": "https://datenwgknowledgekitchen.com/wissensgraph/library/refresh.md",
 "json": "https://datenwgknowledgekitchen.com/wissensgraph/library/refresh.json",
 "dokumente_gesamt": 38,
 "kernaussagen_gesamt": 6,
 "mit_kernaussagen": 5,
 "aliase": [
  "Aktualisierung",
  "Scheduled Refresh",
  "aktualisieren"
 ],
 "einordnung": "Beim Auslösen der Datenfunktion liest das semantische Modell offenbar alle Tabellen neu, nicht nur die betroffene, unabhängig vom Speichermodus. (Stand 2025-05) Der Fixer erlaubt es, einzelne Tabellen oder Partitionen eines Semantic Models gezielt zu aktualisieren, statt das gesamte Modell neu zu laden. (Stand 2026-04) Beim separaten Hochladen des semantischen Modells über die Fabric-Erweiterung werden die Daten nicht mitübertragen, sodass der Refresh anschließend im Power-BI-Service erfolgen muss. (Stand 2025-09)",
 "nachbarn": [
  {
   "id": "tool:power-bi",
   "name": "Power BI",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 44,
   "beleg": "",
   "datei": "power-bi.md"
  },
  {
   "id": "tool:microsoft-fabric",
   "name": "Microsoft Fabric",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 43,
   "beleg": "",
   "datei": "microsoft-fabric.md"
  },
  {
   "id": "topic:performance",
   "name": "Performance",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 36,
   "beleg": "",
   "datei": "performance.md"
  },
  {
   "id": "tool:direct-lake",
   "name": "Direct Lake",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 28,
   "beleg": "",
   "datei": "direct-lake.md"
  },
  {
   "id": "tool:power-query",
   "name": "Power Query",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 21,
   "beleg": "",
   "datei": "power-query.md"
  },
  {
   "id": "tool:directquery",
   "name": "DirectQuery",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 21,
   "beleg": "",
   "datei": "directquery.md"
  },
  {
   "id": "topic:reporting",
   "name": "Reporting",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 21,
   "beleg": "",
   "datei": "reporting.md"
  },
  {
   "id": "tool:lakehouse",
   "name": "Lakehouse",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 20,
   "beleg": "",
   "datei": "lakehouse.md"
  },
  {
   "id": "tool:fabric-capacity",
   "name": "Fabric Capacity",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 19,
   "beleg": "",
   "datei": "fabric-capacity.md"
  },
  {
   "id": "tool:incremental-refresh",
   "name": "Incremental Refresh",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 17,
   "beleg": "",
   "datei": "incremental-refresh.md"
  },
  {
   "id": "tool:power-bi-desktop",
   "name": "Power BI Desktop",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 17,
   "beleg": "",
   "datei": "power-bi-desktop.md"
  },
  {
   "id": "topic:visualisierung",
   "name": "Visualisierung",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 17,
   "beleg": "",
   "datei": "visualisierung.md"
  },
  {
   "id": "tool:sql",
   "name": "SQL",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 16,
   "beleg": "",
   "datei": "sql.md"
  },
  {
   "id": "tool:warehouse",
   "name": "Warehouse",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 15,
   "beleg": "",
   "datei": "warehouse.md"
  },
  {
   "id": "tool:semantic-model",
   "name": "Semantic Model",
   "kantentyp": "ko-vorkommen",
   "belastbarkeit": "Heuristik, gezählt",
   "gemeinsame_segmente": 15,
   "beleg": "",
   "datei": "semantic-model.md"
  }
 ],
 "kernaussagen": [
  {
   "typ": "Warnung",
   "dokument": "27 Jahre in 10 Minuten - Peter Gluchowski beim Daten-WG Offsite",
   "dokument_id": "yt:dKA-38gRD8Q",
   "sekunde": 152,
   "zeit": "02:32",
   "url": "https://www.youtube.com/watch?v=dKA-38gRD8Q&t=152s",
   "aussage": "Executive Information Systems der späten 1980er-Jahre boten zwar bunte, innovative Oberflächen, hatten aber keinen Mechanismus zur laufenden Datenaktualisierung, wodurch die Daten nach drei bis fünf Wochen veraltet waren."
  },
  {
   "typ": "Fakt",
   "dokument": "BI Thinkers Talk nr.75",
   "dokument_id": "yt:BQdSo6ZnmKY",
   "sekunde": 2713,
   "zeit": "45:13",
   "url": "https://www.youtube.com/watch?v=BQdSo6ZnmKY&t=2713s",
   "aussage": "Der Fixer erlaubt es, einzelne Tabellen oder Partitionen eines Semantic Models gezielt zu aktualisieren, statt das gesamte Modell neu zu laden."
  },
  {
   "typ": "Fakt",
   "dokument": "BI Thinkers Talk nr.67",
   "dokument_id": "yt:G8s96sHUHac",
   "sekunde": 309,
   "zeit": "05:09",
   "url": "https://www.youtube.com/watch?v=G8s96sHUHac&t=309s",
   "aussage": "Beim separaten Hochladen des semantischen Modells über die Fabric-Erweiterung werden die Daten nicht mitübertragen, sodass der Refresh anschließend im Power-BI-Service erfolgen muss."
  },
  {
   "typ": "Fakt",
   "dokument": "BI Thinkers Talk Nr.62",
   "dokument_id": "yt:Wwvhv8WA2Qc",
   "sekunde": 3683,
   "zeit": "1:01:23",
   "url": "https://www.youtube.com/watch?v=Wwvhv8WA2Qc&t=3683s",
   "aussage": "Beim Auslösen der Datenfunktion liest das semantische Modell offenbar alle Tabellen neu, nicht nur die betroffene, unabhängig vom Speichermodus."
  },
  {
   "typ": "Meinung",
   "dokument": "BI Thinkers Talk Nr.62",
   "dokument_id": "yt:Wwvhv8WA2Qc",
   "sekunde": 3751,
   "zeit": "1:02:31",
   "url": "https://www.youtube.com/watch?v=Wwvhv8WA2Qc&t=3751s",
   "aussage": "Bei Direct Lake fällt die Aktualisierung des semantischen Modells nach dem Schreiben kaum auf, weil kein spürbarer Refresh-Vorgang nötig ist."
  },
  {
   "typ": "Warnung",
   "dokument": "Fabric & Power BI Quarterly · 2025 Q3",
   "dokument_id": "yt:lZvpCBMKASM",
   "sekunde": 2297,
   "zeit": "38:17",
   "url": "https://www.youtube.com/watch?v=lZvpCBMKASM&t=2297s",
   "aussage": "Bei Translytical-Writeback in ein grosses Import-Modell mit aktiviertem Haken fuer automatische Aktualisierung nach dem Schreiben kann der Refresh eine Viertelstunde dauern."
  }
 ],
 "dokumente": [
  {
   "id": "yt:Z6RZjkn_6lY",
   "titel": "Microsoft Fabric Shortcut Transformation erklärt: Updates im Praxistest",
   "datum": "2026-07-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.222,
   "url": "https://www.youtube.com/watch?v=Z6RZjkn_6lY",
   "sprungmarken": [
    {
     "label": "03:04",
     "url": "https://www.youtube.com/watch?v=Z6RZjkn_6lY&t=184s",
     "sekunde": 184
    },
    {
     "label": "04:09",
     "url": "https://www.youtube.com/watch?v=Z6RZjkn_6lY&t=249s",
     "sekunde": 249
    }
   ]
  },
  {
   "id": "yt:Fqt4gP1xB5w",
   "titel": "Daten-WG Thinkers Talk nr.65",
   "datum": "2025-07-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.209,
   "url": "https://www.youtube.com/watch?v=Fqt4gP1xB5w",
   "sprungmarken": [
    {
     "label": "23:04",
     "url": "https://www.youtube.com/watch?v=Fqt4gP1xB5w&t=1384s",
     "sekunde": 1384
    },
    {
     "label": "49:14",
     "url": "https://www.youtube.com/watch?v=Fqt4gP1xB5w&t=2954s",
     "sekunde": 2954
    },
    {
     "label": "57:10",
     "url": "https://www.youtube.com/watch?v=Fqt4gP1xB5w&t=3430s",
     "sekunde": 3430
    }
   ]
  },
  {
   "id": "yt:LnNoXBIG7Lc",
   "titel": "Power BI Update Juni 2025",
   "datum": "2025-06-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.2,
   "url": "https://www.youtube.com/watch?v=LnNoXBIG7Lc",
   "sprungmarken": [
    {
     "label": "01:45",
     "url": "https://www.youtube.com/watch?v=LnNoXBIG7Lc&t=105s",
     "sekunde": 105
    }
   ]
  },
  {
   "id": "yt:Wwvhv8WA2Qc",
   "titel": "BI Thinkers Talk Nr.62",
   "datum": "2025-05-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.174,
   "url": "https://www.youtube.com/watch?v=Wwvhv8WA2Qc",
   "sprungmarken": [
    {
     "label": "46:07",
     "url": "https://www.youtube.com/watch?v=Wwvhv8WA2Qc&t=2767s",
     "sekunde": 2767
    },
    {
     "label": "1:00:53",
     "url": "https://www.youtube.com/watch?v=Wwvhv8WA2Qc&t=3653s",
     "sekunde": 3653
    },
    {
     "label": "1:02:29",
     "url": "https://www.youtube.com/watch?v=Wwvhv8WA2Qc&t=3749s",
     "sekunde": 3749
    }
   ]
  },
  {
   "id": "yt:6gQiIbyhWEc",
   "titel": "Power BI Update September 2025",
   "datum": "2025-09-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.167,
   "url": "https://www.youtube.com/watch?v=6gQiIbyhWEc",
   "sprungmarken": [
    {
     "label": "03:49",
     "url": "https://www.youtube.com/watch?v=6gQiIbyhWEc&t=229s",
     "sekunde": 229
    },
    {
     "label": "04:48",
     "url": "https://www.youtube.com/watch?v=6gQiIbyhWEc&t=288s",
     "sekunde": 288
    }
   ]
  },
  {
   "id": "yt:jTXo4aEr07o",
   "titel": "Power BI Update August 2025",
   "datum": "2025-08-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.143,
   "url": "https://www.youtube.com/watch?v=jTXo4aEr07o",
   "sprungmarken": [
    {
     "label": "03:53",
     "url": "https://www.youtube.com/watch?v=jTXo4aEr07o&t=233s",
     "sekunde": 233
    }
   ]
  },
  {
   "id": "page:power_bi_einsteiger_guide_v4",
   "titel": "Power BI von A bis Z — Einsteiger-Guide (End-to-End)",
   "datum": "2026-08-31",
   "abdeckung": "nur-text",
   "anteil": 0.14,
   "url": "https://datenwgknowledgekitchen.com/power_bi_einsteiger_guide_v4.html",
   "sprungmarken": [
    {
     "label": "Abschnitt",
     "url": "https://datenwgknowledgekitchen.com/power_bi_einsteiger_guide_v4.html#:~:text=Auto-Binding",
     "sekunde": null
    },
    {
     "label": "Abschnitt",
     "url": "https://datenwgknowledgekitchen.com/power_bi_einsteiger_guide_v4.html#:~:text=Publish%20und%20ersten%20Refresh%20abwarten",
     "sekunde": null
    },
    {
     "label": "Abschnitt",
     "url": "https://datenwgknowledgekitchen.com/power_bi_einsteiger_guide_v4.html#:~:text=Was%20nur%20im%20Service%20geht",
     "sekunde": null
    }
   ]
  },
  {
   "id": "page:fabric_einsteiger_guide_v1",
   "titel": "Microsoft Fabric — Einsteiger-Guide",
   "datum": "2026-08-31",
   "abdeckung": "nur-text",
   "anteil": 0.14,
   "url": "https://datenwgknowledgekitchen.com/fabric_einsteiger_guide_v1.html",
   "sprungmarken": [
    {
     "label": "Abschnitt",
     "url": "https://datenwgknowledgekitchen.com/fabric_einsteiger_guide_v1.html#:~:text=03%20%C2%B7%20Semantische%20Modelle%20%26%20%2ADirect%20Lake%2A",
     "sekunde": null
    },
    {
     "label": "Abschnitt",
     "url": "https://datenwgknowledgekitchen.com/fabric_einsteiger_guide_v1.html#:~:text=Was%20den%20Fallback%20ausl%C3%B6st%20%28Direct%20Lake%20on%20SQL%29",
     "sekunde": null
    },
    {
     "label": "Abschnitt",
     "url": "https://datenwgknowledgekitchen.com/fabric_einsteiger_guide_v1.html#:~:text=Der%20Vergleich",
     "sekunde": null
    }
   ]
  },
  {
   "id": "yt:c-LWoo-O5PQ",
   "titel": "SharePoint direkt in Microsoft Fabric nutzen | Lakehouse, Direct Lake & Power BI",
   "datum": "2026-07-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.133,
   "url": "https://www.youtube.com/watch?v=c-LWoo-O5PQ",
   "sprungmarken": [
    {
     "label": "08:20",
     "url": "https://www.youtube.com/watch?v=c-LWoo-O5PQ&t=500s",
     "sekunde": 500
    },
    {
     "label": "16:12",
     "url": "https://www.youtube.com/watch?v=c-LWoo-O5PQ&t=972s",
     "sekunde": 972
    }
   ]
  },
  {
   "id": "yt:BDnwlOqRElY",
   "titel": "Gaming + Real-Time-Analytics in Fabric = Fun-o-Meter @ Fabric Meetup",
   "datum": "2025-06-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.13,
   "url": "https://www.youtube.com/watch?v=BDnwlOqRElY",
   "sprungmarken": [
    {
     "label": "22:30",
     "url": "https://www.youtube.com/watch?v=BDnwlOqRElY&t=1350s",
     "sekunde": 1350
    },
    {
     "label": "24:07",
     "url": "https://www.youtube.com/watch?v=BDnwlOqRElY&t=1447s",
     "sekunde": 1447
    },
    {
     "label": "35:52",
     "url": "https://www.youtube.com/watch?v=BDnwlOqRElY&t=2152s",
     "sekunde": 2152
    }
   ]
  },
  {
   "id": "yt:BQdSo6ZnmKY",
   "titel": "BI Thinkers Talk nr.75",
   "datum": "2026-04-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.125,
   "url": "https://www.youtube.com/watch?v=BQdSo6ZnmKY",
   "sprungmarken": [
    {
     "label": "25:18",
     "url": "https://www.youtube.com/watch?v=BQdSo6ZnmKY&t=1518s",
     "sekunde": 1518
    },
    {
     "label": "26:50",
     "url": "https://www.youtube.com/watch?v=BQdSo6ZnmKY&t=1610s",
     "sekunde": 1610
    },
    {
     "label": "44:31",
     "url": "https://www.youtube.com/watch?v=BQdSo6ZnmKY&t=2671s",
     "sekunde": 2671
    }
   ]
  },
  {
   "id": "yt:mTVeZzshLzE",
   "titel": "Microsoft Fabric — braucht das wirklich jemand?",
   "datum": "",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.125,
   "url": "https://www.youtube.com/watch?v=mTVeZzshLzE",
   "sprungmarken": [
    {
     "label": "10:01",
     "url": "https://www.youtube.com/watch?v=mTVeZzshLzE&t=601s",
     "sekunde": 601
    },
    {
     "label": "13:17",
     "url": "https://www.youtube.com/watch?v=mTVeZzshLzE&t=797s",
     "sekunde": 797
    },
    {
     "label": "21:24",
     "url": "https://www.youtube.com/watch?v=mTVeZzshLzE&t=1284s",
     "sekunde": 1284
    }
   ]
  },
  {
   "id": "yt:lAh9ajR2Nrw",
   "titel": "Fabric & Power BI Quarterly | 2025 Q2",
   "datum": "2025-04-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.114,
   "url": "https://www.youtube.com/watch?v=lAh9ajR2Nrw",
   "sprungmarken": [
    {
     "label": "10:33",
     "url": "https://www.youtube.com/watch?v=lAh9ajR2Nrw&t=633s",
     "sekunde": 633
    },
    {
     "label": "12:06",
     "url": "https://www.youtube.com/watch?v=lAh9ajR2Nrw&t=726s",
     "sekunde": 726
    },
    {
     "label": "19:44",
     "url": "https://www.youtube.com/watch?v=lAh9ajR2Nrw&t=1184s",
     "sekunde": 1184
    }
   ]
  },
  {
   "id": "yt:7j34Ndng0Os",
   "titel": "Open Mirroring in Microsoft Fabric – Daten replizieren ohne ETL | Fabric Tutorial",
   "datum": "2026-01-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.1,
   "url": "https://www.youtube.com/watch?v=7j34Ndng0Os",
   "sprungmarken": [
    {
     "label": "00:51",
     "url": "https://www.youtube.com/watch?v=7j34Ndng0Os&t=51s",
     "sekunde": 51
    }
   ]
  },
  {
   "id": "yt:sShNdgnHjr4",
   "titel": "TMDL Magie: Multi Parameter Tabelle - Feldparameter Next Level! | Power BI Tutorial",
   "datum": "2025-10-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.1,
   "url": "https://www.youtube.com/watch?v=sShNdgnHjr4",
   "sprungmarken": [
    {
     "label": "06:42",
     "url": "https://www.youtube.com/watch?v=sShNdgnHjr4&t=402s",
     "sekunde": 402
    }
   ]
  },
  {
   "id": "yt:9TsHkV8sIRo",
   "titel": "Fabric & Power BI Quarterly · 2025 Q4",
   "datum": "",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.098,
   "url": "https://www.youtube.com/watch?v=9TsHkV8sIRo",
   "sprungmarken": [
    {
     "label": "12:22",
     "url": "https://www.youtube.com/watch?v=9TsHkV8sIRo&t=742s",
     "sekunde": 742
    },
    {
     "label": "17:15",
     "url": "https://www.youtube.com/watch?v=9TsHkV8sIRo&t=1035s",
     "sekunde": 1035
    },
    {
     "label": "29:00",
     "url": "https://www.youtube.com/watch?v=9TsHkV8sIRo&t=1740s",
     "sekunde": 1740
    }
   ]
  },
  {
   "id": "yt:r416vanitYw",
   "titel": "BI Thinkers Talk nr.69",
   "datum": "2025-11-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.093,
   "url": "https://www.youtube.com/watch?v=r416vanitYw",
   "sprungmarken": [
    {
     "label": "47:43",
     "url": "https://www.youtube.com/watch?v=r416vanitYw&t=2863s",
     "sekunde": 2863
    },
    {
     "label": "50:55",
     "url": "https://www.youtube.com/watch?v=r416vanitYw&t=3055s",
     "sekunde": 3055
    },
    {
     "label": "52:27",
     "url": "https://www.youtube.com/watch?v=r416vanitYw&t=3147s",
     "sekunde": 3147
    }
   ]
  },
  {
   "id": "yt:ASwcPvbMRZc",
   "titel": "Power BI Update März 2026",
   "datum": "2026-03-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.091,
   "url": "https://www.youtube.com/watch?v=ASwcPvbMRZc",
   "sprungmarken": [
    {
     "label": "00:42",
     "url": "https://www.youtube.com/watch?v=ASwcPvbMRZc&t=42s",
     "sekunde": 42
    }
   ]
  },
  {
   "id": "yt:TYmKrreMO3I",
   "titel": "Daten-WG Deep Dive Financial Reporting",
   "datum": "2025-05-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.081,
   "url": "https://www.youtube.com/watch?v=TYmKrreMO3I",
   "sprungmarken": [
    {
     "label": "30:38",
     "url": "https://www.youtube.com/watch?v=TYmKrreMO3I&t=1838s",
     "sekunde": 1838
    },
    {
     "label": "52:11",
     "url": "https://www.youtube.com/watch?v=TYmKrreMO3I&t=3131s",
     "sekunde": 3131
    },
    {
     "label": "55:24",
     "url": "https://www.youtube.com/watch?v=TYmKrreMO3I&t=3324s",
     "sekunde": 3324
    }
   ]
  },
  {
   "id": "yt:DQENmzAkNqw",
   "titel": "Daten-WG BI Thinkers Talk nr.66",
   "datum": "2025-08-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.079,
   "url": "https://www.youtube.com/watch?v=DQENmzAkNqw",
   "sprungmarken": [
    {
     "label": "52:17",
     "url": "https://www.youtube.com/watch?v=DQENmzAkNqw&t=3137s",
     "sekunde": 3137
    },
    {
     "label": "53:48",
     "url": "https://www.youtube.com/watch?v=DQENmzAkNqw&t=3228s",
     "sekunde": 3228
    },
    {
     "label": "55:34",
     "url": "https://www.youtube.com/watch?v=DQENmzAkNqw&t=3334s",
     "sekunde": 3334
    }
   ]
  },
  {
   "id": "yt:zkfdfc5fo-E",
   "titel": "Power BI Update Mai 2025",
   "datum": "2025-05-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.071,
   "url": "https://www.youtube.com/watch?v=zkfdfc5fo-E",
   "sprungmarken": [
    {
     "label": "09:19",
     "url": "https://www.youtube.com/watch?v=zkfdfc5fo-E&t=559s",
     "sekunde": 559
    }
   ]
  },
  {
   "id": "yt:lZvpCBMKASM",
   "titel": "Fabric & Power BI Quarterly · 2025 Q3",
   "datum": "",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.056,
   "url": "https://www.youtube.com/watch?v=lZvpCBMKASM",
   "sprungmarken": [
    {
     "label": "36:51",
     "url": "https://www.youtube.com/watch?v=lZvpCBMKASM&t=2211s",
     "sekunde": 2211
    },
    {
     "label": "40:30",
     "url": "https://www.youtube.com/watch?v=lZvpCBMKASM&t=2430s",
     "sekunde": 2430
    }
   ]
  },
  {
   "id": "yt:TYp5xCAU2AU",
   "titel": "Fabric & Power BI Quarterly · 2026-1",
   "datum": "2026-01-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.054,
   "url": "https://www.youtube.com/watch?v=TYp5xCAU2AU",
   "sprungmarken": [
    {
     "label": "18:20",
     "url": "https://www.youtube.com/watch?v=TYp5xCAU2AU&t=1100s",
     "sekunde": 1100
    },
    {
     "label": "22:30",
     "url": "https://www.youtube.com/watch?v=TYp5xCAU2AU&t=1350s",
     "sekunde": 1350
    }
   ]
  },
  {
   "id": "yt:KwySyTxW_EI",
   "titel": "The Day After Tomorrow – Nach der Einführung geht es erst richtig los | Power BI Summit 2023",
   "datum": "2023-03-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.05,
   "url": "https://www.youtube.com/watch?v=KwySyTxW_EI",
   "sprungmarken": [
    {
     "label": "42:08",
     "url": "https://www.youtube.com/watch?v=KwySyTxW_EI&t=2528s",
     "sekunde": 2528
    }
   ]
  },
  {
   "id": "yt:_Vh5fDfHWz4",
   "titel": "Daten-WG Special: Power BI vs. Qlik -part2",
   "datum": "2025-10-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.048,
   "url": "https://www.youtube.com/watch?v=_Vh5fDfHWz4",
   "sprungmarken": [
    {
     "label": "13:48",
     "url": "https://www.youtube.com/watch?v=_Vh5fDfHWz4&t=828s",
     "sekunde": 828
    },
    {
     "label": "54:26",
     "url": "https://www.youtube.com/watch?v=_Vh5fDfHWz4&t=3266s",
     "sekunde": 3266
    }
   ]
  },
  {
   "id": "yt:G8s96sHUHac",
   "titel": "BI Thinkers Talk nr.67",
   "datum": "2025-09-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.043,
   "url": "https://www.youtube.com/watch?v=G8s96sHUHac",
   "sprungmarken": [
    {
     "label": "04:56",
     "url": "https://www.youtube.com/watch?v=G8s96sHUHac&t=296s",
     "sekunde": 296
    },
    {
     "label": "49:24",
     "url": "https://www.youtube.com/watch?v=G8s96sHUHac&t=2964s",
     "sekunde": 2964
    }
   ]
  },
  {
   "id": "yt:183uLZ3GYDo",
   "titel": "Data Binning and Lorenz Curve in DAX | Alberto Ferrari & Michael Tenner, Berlin Power BI User Group",
   "datum": "2023-01-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.04,
   "url": "https://www.youtube.com/watch?v=183uLZ3GYDo",
   "sprungmarken": [
    {
     "label": "10:02",
     "url": "https://www.youtube.com/watch?v=183uLZ3GYDo&t=602s",
     "sekunde": 602
    },
    {
     "label": "11:33",
     "url": "https://www.youtube.com/watch?v=183uLZ3GYDo&t=693s",
     "sekunde": 693
    }
   ]
  },
  {
   "id": "yt:hbUYMyqb6r8",
   "titel": "Denken in Tabellen",
   "datum": "2026-01-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.038,
   "url": "https://www.youtube.com/watch?v=hbUYMyqb6r8",
   "sprungmarken": [
    {
     "label": "10:21",
     "url": "https://www.youtube.com/watch?v=hbUYMyqb6r8&t=621s",
     "sekunde": 621
    }
   ]
  },
  {
   "id": "yt:mlkP-6i5Kq8",
   "titel": "BI Thinkers Talk nr.76",
   "datum": "2026-05-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.035,
   "url": "https://www.youtube.com/watch?v=mlkP-6i5Kq8",
   "sprungmarken": [
    {
     "label": "36:19",
     "url": "https://www.youtube.com/watch?v=mlkP-6i5Kq8&t=2179s",
     "sekunde": 2179
    },
    {
     "label": "1:01:42",
     "url": "https://www.youtube.com/watch?v=mlkP-6i5Kq8&t=3702s",
     "sekunde": 3702
    }
   ]
  },
  {
   "id": "yt:0FPA1k5YiTs",
   "titel": "Power BI Deep Dive: DAX UDF + TMDL",
   "datum": "2025-10-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.033,
   "url": "https://www.youtube.com/watch?v=0FPA1k5YiTs",
   "sprungmarken": [
    {
     "label": "24:51",
     "url": "https://www.youtube.com/watch?v=0FPA1k5YiTs&t=1491s",
     "sekunde": 1491
    }
   ]
  },
  {
   "id": "yt:m3xNYfVih0Q",
   "titel": "Starting with Microsft Fabric the Skills you need",
   "datum": "2024-08-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.032,
   "url": "https://www.youtube.com/watch?v=m3xNYfVih0Q",
   "sprungmarken": [
    {
     "label": "27:09",
     "url": "https://www.youtube.com/watch?v=m3xNYfVih0Q&t=1629s",
     "sekunde": 1629
    }
   ]
  },
  {
   "id": "yt:9VX4-lLa0EI",
   "titel": "BI Thinkers Talk nr.63",
   "datum": "2025-06-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.028,
   "url": "https://www.youtube.com/watch?v=9VX4-lLa0EI",
   "sprungmarken": [
    {
     "label": "48:51",
     "url": "https://www.youtube.com/watch?v=9VX4-lLa0EI&t=2931s",
     "sekunde": 2931
    }
   ]
  },
  {
   "id": "yt:UnW4wHhw_IY",
   "titel": "Daten-WG Deep Dive Financial Reporting pt.4",
   "datum": "2025-05-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.028,
   "url": "https://www.youtube.com/watch?v=UnW4wHhw_IY",
   "sprungmarken": [
    {
     "label": "16:25",
     "url": "https://www.youtube.com/watch?v=UnW4wHhw_IY&t=985s",
     "sekunde": 985
    }
   ]
  },
  {
   "id": "yt:pOJpXxsfUt0",
   "titel": "BI Thinkers Talk n.73",
   "datum": "2026-02-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.027,
   "url": "https://www.youtube.com/watch?v=pOJpXxsfUt0",
   "sprungmarken": [
    {
     "label": "55:34",
     "url": "https://www.youtube.com/watch?v=pOJpXxsfUt0&t=3334s",
     "sekunde": 3334
    }
   ]
  },
  {
   "id": "yt:4VVNDNusq4U",
   "titel": "BI Thinkers Talk nr.64",
   "datum": "2025-07-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.026,
   "url": "https://www.youtube.com/watch?v=4VVNDNusq4U",
   "sprungmarken": [
    {
     "label": "14:03",
     "url": "https://www.youtube.com/watch?v=4VVNDNusq4U&t=843s",
     "sekunde": 843
    }
   ]
  },
  {
   "id": "yt:iymmxuXHh44",
   "titel": "Daten-WG Deep Dive Financial Reporting - part 5",
   "datum": "2025-07-01",
   "abdeckung": "nur-zeitstempel",
   "anteil": 0.024,
   "url": "https://www.youtube.com/watch?v=iymmxuXHh44",
   "sprungmarken": [
    {
     "label": "32:28",
     "url": "https://www.youtube.com/watch?v=iymmxuXHh44&t=1948s",
     "sekunde": 1948
    }
   ]
  },
  {
   "id": "yt:KMk1k5uCLZU",
   "titel": "Daten-WG Thinkers Talk n61",
   "datum": "2025-04-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.024,
   "url": "https://www.youtube.com/watch?v=KMk1k5uCLZU",
   "sprungmarken": [
    {
     "label": "33:31",
     "url": "https://www.youtube.com/watch?v=KMk1k5uCLZU&t=2011s",
     "sekunde": 2011
    }
   ]
  },
  {
   "id": "yt:bt81POE-9Ig",
   "titel": "Daten-WG Deep Dive Financial Reporting - part 6",
   "datum": "2025-08-01",
   "abdeckung": "kernaussagen+zeitstempel",
   "anteil": 0.023,
   "url": "https://www.youtube.com/watch?v=bt81POE-9Ig",
   "sprungmarken": [
    {
     "label": "01:33",
     "url": "https://www.youtube.com/watch?v=bt81POE-9Ig&t=93s",
     "sekunde": 93
    }
   ]
  }
 ],
 "hinweise": [
  "Kernaussagen und Beziehungen sind maschinell erzeugt und nicht redigiert. Heuristische Kanten zählen Erwähnungen, keine Bedeutung. Bei Widersprüchen gilt das Video."
 ],
 "wiki_url": "https://datenwgknowledgekitchen.com/wissensgraph/#n=topic%3Arefresh",
 "graph_url": "https://datenwgknowledgekitchen.com/wissensgraph/graph.html#n=topic%3Arefresh&f=topic%3Arefresh"
}
