{"id":10873,"date":"2025-05-14T10:08:02","date_gmt":"2025-05-14T10:08:02","guid":{"rendered":"https:\/\/www.novotek.com\/dk\/?post_type=insights&p=10873"},"modified":"2025-05-16T08:48:27","modified_gmt":"2025-05-16T08:48:27","slug":"saadan-driver-highbyte-og-snowflake-industriel-data-transformation","status":"publish","type":"insights","link":"https:\/\/www.novotek.com\/dk\/insight\/saadan-driver-highbyte-og-snowflake-industriel-data-transformation\/","title":{"rendered":"S\u00e5dan samarbejder HighByte og Snowflake om industriel datatransformation"},"content":{"rendered":"
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I dagens digitale landskab stammer industrielle data fra en r\u00e6kke forskellige IT-systemer og Operationel Teknologi (OT)-kilder, herunder Manufacturing Execution Systems (MES)<\/strong><\/a>, SCADA<\/strong><\/a>, Programmable Logic Controllers (PLC’er), databaser og filer. Disse data er yderst v\u00e6rdifulde, men det kan v\u00e6re en stor udfordring at udnytte dem effektivt i skyen.<\/p>\n<\/div>\n\n

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I mods\u00e6tning til IT-data kommer OT-data fra forskellige l\u00f8sningsudbydere, har en levetid, der er 10 gange l\u00e6ngere end IT-systemers, og er berygtet sv\u00e6re at \u00e6ndre. Disse systemer mangler indbygget interoperabilitet med eksterne platforme, producerer r\u00e5 data med h\u00f8j hastighed og mangler ofte kritisk kontekst. Uden korrekt strukturering er disse r\u00e5 industrielle data ikke umiddelbart anvendelige for IT og forretningsenheder, hvilket forhindrer organisationer i at udnytte deres data effektivt til AI, analyser og andre initiativer inden for digital transformation.<\/p>\n<\/div>\n\n

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Her kommer Industrial DataOps<\/a> <\/strong>ind i billedet \u2014 det handler om at omdanne r\u00e5 OT-data til et struktureret og kontekstualiseret format, der “ligner” traditionelle IT-datakilder. Dette g\u00f8r det nemmere at integrere, analysere og skalere p\u00e5 tv\u00e6rs af virksomheden ved hj\u00e6lp af Snowflake AI Data Cloud for Manufacturing.<\/p>\n<\/div>\n\n

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L\u00e6s mere her:<\/strong> Customer Story – Siemens Gamesa<\/span><\/strong><\/a><\/p>\n<\/div>\n\n

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Hvordan HighByte og Snowflake leverer en skalerbar l\u00f8sning<\/h2>\n<\/div>\n\n
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HighByte Intelligence Hub<\/strong><\/a> tilbyder industrielle virksomheder en f\u00e6rdiglavet Industrial DataOps-l\u00f8sning, der muligg\u00f8r kontekstualisering, standardisering og integration af operationelle data i stor skala. <\/p>\n<\/div>\n\n

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\"Highbyte<\/figure>\n<\/div>\n\n
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L\u00e6s mere her:<\/strong> HighByte Intelligence Hub<\/span><\/strong><\/a><\/p>\n<\/div>\n\n

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Ved at implementere HighByte Intelligence Hub (Edge), kan producenter sammenflette og modellere industrielle datakilder til strukturerede datapakker og skabe robuste, tovejskommunikerende datapipelines med Snowflake<\/strong><\/a>.<\/p>\n<\/div>\n\n

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\u201cMed Intelligence Hub vil Snowflake-kunder drage fordel af modellerede industrielle data, der afspejler virkeligheden i deres drift \u2013 og ikke begr\u00e6nsningerne fra en connector eller underliggende industrielle datakilder,<\/em>\u201d<\/p>\n<\/div>\n\n

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Sammen hj\u00e6lper HighByte og Snowflake producenter med at opbygge et Unified Namespace (UNS)<\/strong><\/a> og fremme IT\/OT-konvergens \u2013 ved at omdanne r\u00e5 industrielle data til handlingsorienterede indsigter og underst\u00f8tte forskellige digitale transformationsinitiativer, herunder:<\/p>\n<\/div>\n\n

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  • Normalisering af indsamlingen af datas\u00e6t p\u00e5 tv\u00e6rs af systemer, aktiver, produktionslinjer og lokationer.<\/li>\n<\/div>\n\n
    \n
  • Kontekstualisering af r\u00e5 industrielle data, s\u00e5 de kan bruges ud over OT-processtyring.<\/li>\n<\/div>\n\n
    \n
  • Eliminering af tidskr\u00e6vende og uholdbare dataklarg\u00f8ringsopgaver i Snowflake.<\/li>\n<\/div>\n\n
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  • Muligg\u00f8relse af realtidsindsamling af industrielle h\u00e6ndelser for forbedret operationel synlighed og beslutningstagning.<\/li>\n<\/div>\n\n
    \n
  • Tilbagef\u00f8rsel og replikering af databaser og historikere for at sikre kontinuerlig datatilg\u00e6ngelighed.<\/li>\n<\/div>\n\n
    \n
  • Fremme af samarbejde mellem OT- og IT-eksperter.<\/li>\n<\/div>\n\n
    \n
  • Sikker h\u00e5ndtering af datapipelines, der opfylder de unikke behov i industrielle virksomheder.<\/li>\n<\/div>\n\n
    \n
  • Frig\u00f8relse af Industry 4.0-potentiale med AI-drevne indsigter via Snowflake Cortex AI.<\/li>\n<\/div><\/ul>\n<\/div>\n\n
    \n

    \u201cHighByte Intelligence Hub g\u00f8r avancerede use cases til virkelighed for vores industrielle kunder, herunder h\u00e5ndtering af h\u00e6ndelser i lukkede kredsl\u00f8b ved Edge baseret p\u00e5 anomalier, der opdages af ML\/AI-arbejdsgange i Snowflake Data Cloud. Vi ser frem til et fortsat samarbejde med HighByte for at sikre, at vores kunder f\u00e5r endnu mere v\u00e6rdi ud af Snowflakes samlede, integrerede platform.<\/em>\u201d forklarer Pugal Janakiraman, Industry Field CTO for Manufacturing hos Snowflake<\/strong>.<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

    I det digitale landskab stammer industrielle data fra en r\u00e6kke forskellige IT-systemer. Disse data er v\u00e6rdifulde, men det er en udfordring at udnytte dem.<\/p>\n","protected":false},"featured_media":0,"template":"","insight_category":[30],"class_list":["post-10873","insights","type-insights","status-publish","hentry","insight_category-artikel"],"acf":[],"yoast_head":"\nHighByte og Snowflake - Industriel datatransformation<\/title>\n<meta name=\"description\" content=\"I det digitale landskab stammer industrielle data fra en r\u00e6kke forskellige IT-systemer. 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