docs(research): 新增 Snowflake 数据云平台深度调研文档 - #1098
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基于 Snowflake 官方文档(docs.snowflake.com),以正交分解方法论梳理 10 个独立变化的维度(架构基石/存储引擎/计算引擎/数据工程/开发可编程性/AI·ML/安全治理/数据共享/业务连续性/成本管理),总分总结构含 26 张 Mermaid 图、能力全景矩阵、主流方案(BigQuery/Redshift/Databricks/OceanBase)横向对比与选型建议;同步登记 knowledge-map、research 索引与 retrieval-storage 分类描述。 🤖 Generated with [Claude Code](https://github.com/claude), [CodeX](https://openai.com), [Gemini](https://github.com/apps/gemini-code-assist) Co-Authored-By: Aurelius Huang<threefish.ai@gmail.com>
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背景
核心变更
docs/research/retrieval-storage/034-snowflake-data-cloud.md(3661 行):以正交分解方法论将 Snowflake 拆为 10 个独立维度——架构基石 / 存储引擎 / 计算引擎 / 数据工程 / 开发可编程性 / AI·ML / 安全治理 / 数据共享 / 业务连续性 / 成本管理,总分总结构。knowledge-map.md、research/readme.md与_category_.json分类描述,维护单一事实源。风险与回滚
149db5bc即可。验证证据
sidebar_position: 9唯一、_category_.jsonJSON 合法均已通过脚本校验。影响范围
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