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lecture · HACKER NEWS RECOMMENDATION

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

Michigan Engineering · 5 HN recommenders · 5 recommendation months

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Recommended by 5 Hacker News commenters across 5 months (2015–2024).

SignalTube analysis

Among 3 other lecture videos tagged Databases & storage, the mean is 3.3 distinct HN recommenders. This video has 5 distinct HN recommenders, about 1.5× that mean. Recommendations span 5 distinct months; the peer average is 3.7 months. This is a data-derived comparison, not a human review or quality rating.

71% of its 7 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2015–2024; those years describe discussion history, not upload date. A verified runtime is not present in the current metadata snapshot. A verified YouTube publication date is not present in the current metadata snapshot.

Channel / speaker
Michigan Engineering
Verified runtime
Not verified in the current YouTube metadata
YouTube upload date
Not verified
Hacker News mention years
2015–2024

SAME TOPIC AND FORMAT

Compare with related videos

3 peers

The comparison cohort uses other lecture videos in Databases & storage. “Shared recommenders” counts HN users who recommended both videos in the source graph.

VideoHN recommendersRecommendation monthsPositive label shareShared recommendersRuntimeUpload date
Michael Stonebraker | Big Data is (at least) Four Different ProblemsCurrent video5571%—Not verified in the current YouTube metadataNot verified
01 - Course Introduction & Relational Model (CMU Databases Systems / Fall 2019)lecture · CMU Database Group66100%No recorded overlapNot verifiedNot verified
Donald B. Gillies Lecture: Dr. Michael Stonebrakerlecture · Siebel School of Computing and Data Science2325%No recorded overlapNot verifiedNot verified
Rust at speed — building a fast concurrent databaselecture · Jon Gjengset2250%No recorded overlapNot verifiedNot verified

THREE SOURCE-BASED CONTEXT POINTS

Why Hacker News recommends it

7 mentions

Each note combines the dataset’s stance label and short rationale; comment bodies are not reproduced. Open the HN source for the original discussion.

strong rec2024-05Original HN comment ↗

The archive classifies this as a strong recommendation in “Big data is dead (2023)”. Its short rationale: Origin of the 3 V's from a DBMS legend's talk.

reference2023-09Original HN comment ↗

The archive classifies this as a contextual reference in “Fast Analytics and Graph Traversals with Datalog”. Its short rationale: Stonebraker talk cited alongside one-size-fits-all database argument.

The archive classifies this as a recommendation in “Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker (2018)”. Its short rationale: Enjoyable talk by an opinionated, first-principles database pioneer.