Special Reports
专题报告Special Reports
把一场大会、一份报告、一组行业信号，压缩成可决策的视图。这里是边界层笔记的"重武器"区。Compress a conference, a report, a set of industry signals into a decision-ready view. The "heavy weapons" corner of The Boundary Layer.
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厂商大会深度专题Conference Deep-Dives
一线厂商年度大会的逐场拆解：技术发布、定位变化、产业信号。链接到常备参考库 data-ai-intel。Session-by-session breakdowns of tier-one vendor summits: launches, positioning shifts, industry signals. Linked to the data-ai-intel reference library.
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Databricks Data+AI Summit 2026 外部External
DAIS 2026 全景：Lakehouse、Mosaic AI、Agent、开放表格式（Unity Catalog / Delta）的产业信号与腾讯云视角对照。The full DAIS 2026 picture: Lakehouse, Mosaic AI, Agents, open table formats (Unity Catalog / Delta) — industry signals read against the Tencent Cloud view.
haiyangchenbj.github.io/data-ai-intel/reports →haiyangchenbj.github.io/data-ai-intel/reports →
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Snowflake Summit 2026 外部External
Snowflake 年度大会 2026 深度专题：Cortex、数据云、AI 功能与多云策略的产业解读。Snowflake Summit 2026 deep-dive: Cortex, the Data Cloud, AI features, and multi-cloud strategy — read for the industry.
haiyangchenbj.github.io/data-ai-intel/reports →haiyangchenbj.github.io/data-ai-intel/reports →
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2026 阿里云峰会专题 · 腾讯云视角2026 Alibaba Cloud Summit — Tencent Cloud Perspective 外部External
站在腾讯云大数据视角，拆解阿里云峰会的 Data+AI 发布与定位，做竞品视角的对照分析。From the Tencent Cloud big-data seat: a competitor-lens breakdown of Alibaba Cloud Summit's Data+AI launches and positioning.
haiyangchenbj.github.io/data-ai-intel/reports →haiyangchenbj.github.io/data-ai-intel/reports →
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FFA 2026 外部External
Apache Flink 官方大会 FFA 2026 深度解读：流批一体、实时数仓、Lakehouse 实时化的技术走向与厂商策略。Apache Flink's own conference, FFA 2026: stream-batch unification, real-time warehouses, and the live-Lakehouse trajectory — tech and vendor strategy.
haiyangchenbj.github.io/data-ai-intel/reports →haiyangchenbj.github.io/data-ai-intel/reports →
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数据平台 + AI：分析师观点全景回顾Data Platform + AI: Analyst Viewpoints Review 外部External
Gartner / IDC / Forrester 等分析师一年来对数据平台 + AI 的核心判断汇总（2025.04—2026.04），看行业共识与分歧。A year of core calls on data platform + AI from Gartner / IDC / Forrester (2025.04–2026.04) — where the industry agrees and where it diverges.
haiyangchenbj.github.io/data-ai-intel/reports →haiyangchenbj.github.io/data-ai-intel/reports →
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数据报告Data Reports
边界层笔记自身的量化复盘——内容策略、粉丝结构、爆款逻辑。The Boundary Layer's own quantitative retrospective — content strategy, audience structure, and what makes a hit.