翻译记录

• A Data Engineering Benchmark for AI Agents
  https://www.snowflake.com/en/blog/engineering/data-eng-bench-data-engineering-agent-benchmark/
• Introducing S3-Compatible Storage Support for Iceberg Tables in Snowflake Horizon Catalog
  https://www.snowflake.com/en/blog/engineering/s3-compatible-storage-iceberg-horizon-catalog/
• AI Readiness Score: Evaluate Your Data for AI
  https://www.snowflake.com/en/blog/engineering/ai-readiness-score-data-framework0/
• Analytical Search: Analytics Over Unstructured Data
  https://www.snowflake.com/en/blog/engineering/beyond-rag-enterprise-analytical-search/
• Agentic Primitives 101 - by Charlie Guo
  https://www.ignorance.ai/p/agentic-primitives-101
• Pro plan | Perch AI
  https://www.perchai.app/docs/plans/pro
• State of Devs 2026: Worldview
  https://2026.stateofdevs.com/en-US/worldview/
• State of Devs 2026
  https://2026.stateofdevs.com/en-US/
• Monte-Carlo simulations - Eli Bendersky's website
  https://eli.thegreenplace.net/2026/monte-carlo-simulations/
• An Architect's Guide to Multi-Engine Lakehouses: What's Solved and What Isn't
  https://www.snowflake.com/en/blog/engineering/multi-engine-lakehouse-interoperability/
• Build your own decision model
  https://nishtahir.com/build-your-own-decision-model/
• Revamping Skills in Deep Agents
  https://www.langchain.com/blog/revamping-skills-in-deep-agents
• Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale - InfoQ
  https://www.infoq.com/presentations/netflix-observability-aiops-ontology-scale/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global
• Getting started with hybrid tables | Snowflake Documentation
  https://docs.snowflake.com/en/user-guide/tutorials/getting-started-with-hybrid-tables-tutorial
• MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022–2025)
  https://arxiv.org/html/2509.09544v3
• Finding the Right Fit:Model–Harness Interactions across Agent Tasks
  https://arxiv.org/html/2610.00917v1
• 鉴书（17） - 土摩托
  https://substack.com/home/post/p-219648895
• Accelerated Semantic Views: Snowflake Materialization Guide
  https://www.snowflake.com/en/blog/engineering/accelerating-semantic-views-materializations/
• Ontology in Snowflake: Building Cortex Agents
  https://www.snowflake.com/en/blog/engineering/ontology-grounded-cortex-agents/
• Agent Mode in the DuckDB CLI – DuckDB
  https://duckdb.org/2026/10/09/agent-mode?utm_source=x&utm_medium=social
• Your app’s frontend UI is now optional – Richard Seroter's Architecture Musings
  https://seroter.com/2026/09/30/your-apps-frontend-ui-is-now-optional/
• How to Build a Semantic View: 5 Principles for Better AI Data
  https://www.snowflake.com/en/blog/engineering/how-to-build-semantic-view/
• If You're Serious About Data Analysis, You Need a Semantic Model
  https://www.snowflake.com/en/blog/engineering/why-you-need-a-semantic-model/
• Scaling AI in Legal: Building Uber’s Redlining Agent
  https://www.uber.com/in/en/blog/building-ubers-redlining-agent/
• Managing Business Logic Interoperability in Multi-Engine Lakehouses
  https://www.snowflake.com/en/blog/engineering/lakehouse-business-logic-interoperability/
• If You're Serious About Data Analysis, You Need a Semantic Model
  https://www.snowflake.com/en/blog/engineering/why-you-need-a-semantic-model/
• Why Do We Need Semantic Views? Solving BI & SQL Traps
  https://www.snowflake.com/en/blog/engineering/why-we-need-semantic-views/
• Apache Iceberg™ tables | Snowflake Documentation
  https://docs.snowflake.com/en/user-guide/tables-iceberg
• Using AI to Improve AI with Cortex Analyst
  https://www.snowflake.com/en/blog/engineering/using-ai-improving-ai/
• Stop Moving Data: Automate Your Open Lakehouse with Cortex Code CLI
  https://www.snowflake.com/en/blog/engineering/catalog-linked-databases-cortex-code-cli-iceberg/