[📢] 『aespa WEEK #RichMan# POP-UP @ TOKYO』の開催が決定いたしました✨✨ ぜひ足を運んでみてください💜   🗓2025年10月10日(金)～2025年11月11日(火) 📍東急プラザ原宿「ハラカド」4F D'PARTMENT   🎸詳細はこちら   #aespa# #æspa# #에스파# #RichMan# #aespaRichMan# #aespa_WEEK# #DPARTMENT#

style department_osakaで開催「A24」のPOPUPへ。A24の作品に対する愛、洗練された空間作り、素晴らしかったです。『異端者の家』は本日より全国公開。

タイの若者65％が「いじめ経験」　学校で銃をめぐる事件相次ぐ中、過去調査に再び注目 紹介されたのは、タイ保健省傘下の保健サービス支援局（Department of Health Service Support：HSS）が2025年に実施した調査です。7～25歳の子ども・若者4万1,944人を対象にしたもので、回答者の65.54％が、何らかのいじめを経験したと答えました。

# 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#