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Iceberg

Q: Iceberg 最近有什么新动态？

traeai 已收录 3 篇与 Iceberg 相关的内容。最新一篇是「Why Not Being the System of Record is a Winning Strategy | Fivetran CPO」，由 Product School 发布。

别名：apache iceberg

开源表格式，用于大规模数据集的高效查询和管理。

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Why Not Being the System of Record is a Winning Strategy | Fivetran CPO

Product School · 8.7 分

Fivetran CPO主张“不成为数据源系统（System of Record）”是制胜策略：在AI代理驱动的数据时代，封闭式数据孤岛将被绕过，开放、互操作的现代数据基础设施（如Iceberg+多查询引擎）才是可持续路径。

Debunking 8 data layout myths: why Liquid Clustering outperforms partitioning

Databricks · 8.5 分

Liquid Clustering 在现代 Lakehouse 中优于传统分区，因为它动态优化数据布局、避免小文件问题，并支持多维聚类和自动选择键，而传统分区在75%以上场景中导致过度分区和性能下降。

Google Cloud Introduces Cross-Engine Iceberg Support in BigQuery

InfoQ · 7.2 分

Google Cloud 在 BigQuery 中引入跨引擎 Iceberg 支持，提升数据湖与数据仓库的统一管理能力。

Why Not Being the System of Record is a Winning Strategy | Fivetran CPO

Product School5月28日8941 字 (约 36 分钟)

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.

入选理由：Fivetran推动ELT范式与开放数据基础设施（Open Data Infrastructure），支持Iceberg格式+Snowflake/Databricks等多引擎查询。

FeaturedVideo#Data Engineering#Modern Data Stack#Fivetran#AI Agents#Open Standards英文

Debunking 8 data layout myths: why Liquid Clustering outperforms partitioning

Databricks6月2日2166 字 (约 9 分钟)

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.

入选理由：Hive-style 分区在超过75%的案例中导致过度分区和小文件问题，影响查询性能。

FeaturedArticle#Databricks#Lakehouse#Liquid Clustering#Data Layout#Partitioning英文

Google Cloud Introduces Cross-Engine Iceberg Support in BigQuery

InfoQ5月23日2917 字 (约 12 分钟)

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

入选理由：BigQuery 新增对 Iceberg 表格式的支持，实现跨引擎查询。

FeaturedArticle#BigQuery#Iceberg#Google Cloud#Data Lake#Data Warehouse英文

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