Karsten S. Nielsen PRO

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updated a model about 3 hours ago
luxury-lakehouse/build-artifacts
updated a Space about 6 hours ago
luxury-lakehouse/staging
posted an update about 20 hours ago
๐Ÿš€ ๐—Ÿ๐—ฎ๐˜‚๐—ป๐—ฐ๐—ต๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—”๐—œ/๐— ๐—Ÿ ๐—ช๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„๐˜€ ๐——๐—ฎ๐˜€๐—ต๐—ฏ๐—ผ๐—ฎ๐—ฟ๐—ฑ Now that our Taipy architecture is humming along on Hugging Face Spaces, we just shipped the most complex feature of the (๐˜™๐˜ช๐˜จ๐˜ฉ๐˜ต! ๐˜“๐˜ถ๐˜น๐˜ถ๐˜ณ๐˜บ!) ๐˜“๐˜ข๐˜ฌ๐˜ฆ๐˜ฉ๐˜ฐ๐˜ถ๐˜ด๐˜ฆ to date: the ๐—”๐—œ/๐— ๐—Ÿ ๐—ช๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„๐˜€ ๐——๐—ฎ๐˜€๐—ต๐—ฏ๐—ผ๐—ฎ๐—ฟ๐—ฑ. Managing 16 different machine learning pipelines (from Expected Goals to Space Creation) across Databricks Serverless and HF Jobs is a logistical challenge. To solve this, we built a dynamic operations center (the 13th page in our app). It features: ย ย โ€ข ๐—”๐—ป ๐—ถ๐—ป๐˜๐—ฒ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐˜ƒ๐—ฒ ๐—ฑ๐—ฒ๐—ฝ๐—ฒ๐—ป๐—ฑ๐—ฒ๐—ป๐—ฐ๐˜† ๐——๐—”๐—š: Powered by Cytoscape.js, it visually maps exactly how our models and data grids feed into each other. ย ย โ€ข ๐—ฅ๐—ฒ๐—ฎ๐—น-๐˜๐—ถ๐—บ๐—ฒ ๐—บ๐—ผ๐—ป๐—ถ๐˜๐—ผ๐—ฟ๐—ถ๐—ป๐—ด: Tracks run volumes and data freshness SLAs across the entire platform. ย ย โ€ข ๐—” ๐Ÿฏ-๐˜๐—ถ๐—ฒ๐—ฟ ๐—ต๐˜†๐—ฏ๐—ฟ๐—ถ๐—ฑ ๐—ฐ๐—ผ๐˜€๐˜ ๐—ฒ๐—ป๐—ด๐—ถ๐—ป๐—ฒ: Merges "cold" Databricks billing data with "warm/hot" live HF Jobs estimates to give a unified view of pipeline expenses. Check out the live interactive graph here: https://huggingface.co/spaces/luxury-lakehouse/soccer-analytics-app
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