Google 近期针对 BigQuery 推出了面向开源模型的第三方生成式 AI 推理功能。这一更新允许数据团队直接使用简单的 SQL 语句，部署并运行来自 Hugging Face 或 Vertex AI Model Garden 的任何模型。该接口目前处于预览阶段，其最大的亮点在于消除了对独立机器学习（ML）基础设施的需求，系统会自动启动计算资源、管理端点，并在任务完成后通过 BigQuery ...

Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for ...

无论是MySQL、PostgreSQL，还是Snowflake、BigQuery，只要会写SELECT，你就能和数据对话。它稳定、高效、逻辑清晰，是每个数据从业者的基本功。 这些需求，用SQL不是做不到，而是 成本太高 ...

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One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

AI is shaping every field by making skills (such as coding or data visualization) accessible to everyone, which weren’t available in the past. An AI operator who can run the right prompts can perform ...

Google is abandoning its homegrown SQL variant as the recommended default query language for its BigQuery service in favor of a new standard-compliant dialect in the works for the managed data ...

Google is abandoning its homegrown SQL variant as the recommended default query language for its BigQuery service in favor of a new standard-compliant dialect in the works for the managed data ...