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English(EN) How Unity Catalog managed tables bring interoperability, performance, and unified governance to the Lakehouse

Databricks 实现外部引擎访问 Unity Catalog 管理表

Databricks 宣布,外部引擎现已可在公共预览版中创建、读取和写入 Unity Catalog 管理的 Delta 表。此功能基于开放的 UC Delta API 构建,允许 Apache SparkApache FlinkDuckDB 等引擎访问和修改数据,并由 Unity Catalog 强制执行集中式治理。管理表还利用 Predictive Optimization 提高查询性能并降低存储成本,无需手动调优。 AI

影响 增强了 Lakehouse 平台上 AI/ML 工作负载的数据互操作性和治理。

排序理由 这是数据 Lakehouse 平台的产品更新,并非核心 AI 模型发布或研究突破。

在 Databricks Blog 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Databricks 实现外部引擎访问 Unity Catalog 管理表

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这是数据 Lakehouse 平台的产品更新,并非核心 AI 模型发布或研究突破。
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报道来源 [1]

  1. Databricks Blog TIER_1 English(EN) ·

    Unity Catalog 管理表如何为 Lakehouse 带来互操作性、性能和统一治理

    Unity Catalog was designed for interoperability at scale. Enterprises have the flexibility...