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THE VIDEO SHELF · databases and big data

Michael Stonebraker | Big Data is (at least) Four Different Problems

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.

Why HN readers recommended it

HN points to it as a thoughtful, first-principles take from a Turing award winner that cuts through NoSQL and big data hype.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Michigan Engineering
Topic
databases and big data
Format
lecture
Level
intermediate
HN recommenders in dataset
5
HN mentions in dataset
7
Recommendation years in dataset
2015–2024

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Whenever I see a young gullible engineer, all twinkly-eyed and bedazzled by the MongoDB hype (or any other NoSQL hype), I'll send him a link [1] on a rather interesting talk by a very thoughtful Turing award winning engineer named Michael Stonebraker. It takes a …

    edejong on Hacker News · 2017-08
    In The Marketing Behind MongoDB
  • I first heard of this 3 V's in a Michael Stonebreaker's talk[1]. For the uninitiated he's a legend in DBMS space, Turing award winner[2]. Highly recommend this and related talks by him, most of them are in YouTube. [1] [VIDEO] [2] [LINK]

    vishnugupta on Hacker News · 2024-05
    In Big data is dead (2023)
  • Stonebraker recently gave a talk at my school on where he thinks databases are headed in the future[0]. Definitely worth a watch. [0] [VIDEO]

    mattste on Hacker News · 2015-12
    In Readings in Database Systems, 5th Edition

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.