什么是 Iceberg？

Fivetran’s CPO argues that *not* becoming the System of Record is the winning strategy: in the AI-agent-driven era, closed data silos will be bypassed, and truly open, interoperable modern data infrastructure (e.g., Iceberg + multi-engine querying) is the only sustainable path.

AWS HealthOmics和Bedrock AgentCore结合，实现无需生物信息学代码的抗生素耐药性监测。通过公共测序数据自动分析耐药基因，提供自然语言查询结果。

Databricks推出Workday Data Connect联邦连接器，实现零拷贝访问Workday数据并集成到Unity Catalog中。

Databricks的Unity Catalog管理表允许用户在自有云存储中控制数据位置，支持Iceberg和Delta格式，并通过开放API实现数据治理。

Milvus 3.0 引入 External Collections，实现湖数据零拷贝索引，解决数据冗余与搜索效率问题。

Milvus 3.0即将发布，新增External Collection、Snapshot等特性，提升向量数据库性能与易用性。

AWS推出S3注解功能，允许在S3对象上附加可搜索的上下文，提升数据管理灵活性。

Liquid Clustering outperforms traditional partitioning in modern Lakehouses by dynamically optimizing data layout, avoiding small-file issues, supporting multi-dimensional clustering, and enabling automatic key selection—while Hive-style partitioning causes over-partitioning and performance degradation in over 75% of cases.

Google Cloud introduces cross-engine Iceberg support in BigQuery to enhance unified data lake and warehouse management.