Michael Stonebraker | Big Data is (at least) Four Different Problems
5 人推荐 · 跨 5 个月 · 2015–2024
中文导读
数据库领域泰斗、图灵奖得主 Michael Stonebraker 拨开术语迷雾，指出所谓“大数据”本质上是四类完全不同的挑战：大容量简分析、复杂大分析、高吞吐流式（velocity）与多源异构（variety），并对各赛道的技术走向给出了犀利预判。
为什么 HN 推它
来自体系结构宗师的第一性原理剖析，不随大流、毫无玄学，直接戳破了当年 NoSQL 与大数据的营销泡沫，常年被 HN 读者作为架构必读材料。
「图灵奖得主 Michael Stonebraker 带来的一场极其有深度且耐人寻味的精彩演讲。」HN 网友原话：a rather interesting talk by a very thoughtful Turing award winning engineer named Michael Stonebraker
英文原摘要（HackerTube / Claude 整理）
Database pioneer Michael Stonebraker argues that 'big data' is really at least four different problems: big volumes with small analytics, big analytics, velocity, and variety. He comments on where each market is heading.
HN points to it as a thoughtful, first-principles take from a Turing award winner that cuts through NoSQL and big data hype.
HN 上的提及
Definitely worth a watch.
I think a better presentation to flesh out these ideas is the following youtube video
a rather interesting talk by a very thoughtful Turing award winning engineer named Michael Stonebraker
Mike Stonebraker says that there are no fast distributed transactions
I enjoyed his talk on "Why Big Data is at least 4 different problems