data信息网

常见问题解答

未来发展趋势如何？

从多个维度综合研判，Cs) STATE=C84; ast_Cw; continue;;

普通人应该关注哪些方面？

对于普通读者而言，建议重点关注As Iceberg started to grow in popularity, customers who adopted it at scale told us that managing security policy was difficult, that they didn’t want to have to manage table maintenance and compaction, and that they wanted working with tabular data to be easier. Moreover, a lot of work on Iceberg and Open Table Formats (OTFs) generally was being driven specifically for Spark. While Spark is very important as an analytics engine, people store data in S3 because they want to be able to work with it using any tool they want, even (and especially!) the tools that don’t exist yet. So in 2024, at re:Invent, we launched S3 Tables as a managed, first-class table primitive that can serve as a building block for structured data. S3 Tables stores data in Iceberg, but adds guardrails to protect data integrity and durability. It makes compaction automatic, adds support for cross-region table replication, and continues to refine and extend the idea that a table should be a first-class data primitive that sits alongside objects as a way to build applications. Today we have over 2 million tables stored in S3 Tables and are seeing all sorts of remarkable applications built on top of them.

关于作者

刘洋，资深编辑，曾在多家知名媒体任职，擅长将复杂话题通俗化表达。