StrayKids World Tour <RUN IT JAPAN> スキズ チケット 交換 【譲】9/5 （土） 名古屋 2枚 【求】9/6（日） 名古屋 　2枚 ※9/6以外のチケットでも検討いたします ️⭕️アプグレ対応、個人情報交換可 お心当たりのある方いらっしゃいましたら、DMにてご連絡をお願いいたします🙇🏻‍♀️

Stray Kids、新曲『RUN IT』でグローバルチャート席巻 ▼壮大な世界観のMVにも反響続々！ #StrayKids# #스트레이키즈# #スキズ#

Stray Kids、国立競技場でのライブ開催決定✨ 海外男性アーティスト史上初の快挙🎊 🔻ドーム公演含む7公演決定 #StrayKids　##RUN_IT_JAPAN#

雪葬❄️ パトロンさんになるとBETA版が遊べます🥰 今回、誰でも遊べるくらい軽くしました！ Become a patron to play the Snowed Under beta! 💜 This time, we’ve optimized it so most anyone can run it!

# Learning Palantir Foundry 🚀 Put business logic right on the ontology. Functions cure the "numbers don't match across departments" problem by centralizing logic in one place. 📌 Title and Feature URL Title: ファンクション URL: 📝 Overview Functions let you write server-side logic that executes in isolated environments, powering operational apps like dashboards and decision-support tools. They are designed to work with Foundry ontologies, so they can read object properties, traverse links, and perform flexible ontology edits. 🔧 How It Works - Supported languages: TypeScript (full feature support) and Python (beta, with growing support especially for serverless and deployed execution). - Serverless execution: spins up on demand when invoked and bills only during execution, with a 60-second total wall-clock timeout (30s CPU plus a 30s network buffer). Multiple versions can run simultaneously, making upgrades safer. - Deployed execution: reserves dedicated resources for cases serverless cannot meet, runs a single version at a time, and bills continuously while deployed. - Capability differences: ontology read/write, Workshop integration, and external API calls work in both languages. Pipeline Builder is Python, while model embedding and semantic search are TypeScript. 🛠 Practical Usage - Derived properties: display function-computed values as table columns. - Function-backed Actions: implement complex edits spanning multiple objects. - Workshop integration: run functions to compute or display variables. - API gateway: invoke query functions programmatically to reuse the same logic everywhere. 🎯 Use Cases - Implement derived-KPI logic once and return identical results to Workshop, OSDK, and the API. - Query external systems to enrich ontology objects. - Build complex validation or bulk updates as function-backed Actions. ⚠️ Caveats - The 60-second timeout applies uniformly across execution modes, so optimize for efficiency. - Available capabilities depend on the invocation context (for example, model embedding and semantic search are TypeScript only), so decide on language early. #PalantirFoundry# #DataEngineering#