随着企业数字化转型深入，Data + AI 一体化成为技术架构的核心方向。传统数据湖主要管理结构化与半结构化数据（如 Parquet、JSON），如今正向全模态统一治理演进，将图片、音频、视频等非结构化文件纳入湖仓体系，实现“一湖多源”统一存储与管理。同时，计算引擎从单一大数据工具扩展至支持 AI 场景 Spark、Ray 等分布式框架，推动开发平台向一站式、智能化发展。
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To test this I built gitgres, about 2,000 lines of C implementing the libgit2 git_odb_backend and git_refdb_backend interfaces against Postgres through libpq, plus roughly 200 lines of PL/pgSQL for the storage functions. libgit2 handles pack negotiation, delta resolution, ref advertisement, and the transport protocol while the backend reads and writes against the two tables, and a git remote helper (git-remote-gitgres) lets you add a Postgres-backed remote to any repo and push or clone with a normal git client that has no idea it’s talking to a database. There’s a Dockerfile in the repo if you want to try it out without building libgit2 and libpq from source.
async transform(chunk, controller) {
讲述人：中移互联网有限公司智慧认证中心总经理 邱浚漾