Joe Hellerstein

@joe_hellerstein

Founder and CSO, Trifacta. Berkeley CS Prof, focused on data and computation. Advisor to tech companies.

Berkeley, San Francisco
Vrijeme pridruživanja: rujan 2009.

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  1. proslijedio/la je Tweet
    3. sij
    Odgovor korisniku/ci

    was a pioneer in open source in-database machine learning ().

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  2. 1. velj

    Dell is other people.

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  3. 1. velj

    These guys freeloaded their way in too but Im making them sleep on the floor.

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  4. 1. velj

    Some old friends came home for a visit!

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  5. proslijedio/la je Tweet
    30. sij

    This is a great paper from . It breaks down and evaluates all the tricks from the last decade for in-memory concurrency control research.

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  6. proslijedio/la je Tweet
    30. sij

    Simply put, bad data = bad business decisions. highlights key takeaways from our 'Obstacles to AI & Analytics Adoption in the Cloud' report and how we quantified the impact bad has on business.

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  7. proslijedio/la je Tweet
    30. sij

    Daily reminder for anyone who wants to become a Software Engineer: You may need a college degree... but don't let ANYONE tell you that you need to attend a bootcamp. Don't let the marketing get to you, all the info is free or the price of books/courses.

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  8. proslijedio/la je Tweet
    30. sij

    Adv. Database Systems 2020 ➜ Lecture #4: Modern Multi-Version Concurrency Control Protocols Video: Slides: I go hard in the paint with Hekaton, HyPer, HANA, and Cicada.

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  9. 30. sij

    OK on to the Exodus paper. Tomorrow is Wisconsin day ib my graduate tour of seminal database systems history.

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  10. 30. sij

    What kind of jerk tweets out easily disproven falsehoods late in the night? *sigh*

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  11. 30. sij

    Correction: The RAID paper is SIGMOD 1988. The Chained Declustering paper TR is 1989, and cites the RAID paper and lays out differences. Apologies to all the fine researchers on both sides who were doing their scholarly jobs!

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  12. 30. sij

    Hey you just texted me twice that my dinner is picked up and on the way. It's after midnight. You delivered the dinner (late and with errors) over 3 hours ago. Get some rest, you clearly need it.

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  13. 30. sij

    I understand why the MapReduce and Big Data hype was frustrating for DeWitt. Students: if you're looking for 20th century systems work that doesn't read like archaeology, read the Gamma paper.

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  14. 30. sij

    Speedup/Scaleup results look good, blemishes admitted and explained. Great model for ambitious, long-term academic system building.

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  15. 30. sij

    They innovated on redundant disk failure layout analysis before RAID. They did parallel dataflow deacdes before MapReduce. They wrote their own OS. They implemented a version of ARIES. They built a competent query optimizer.

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  16. 30. sij

    Revisiting the Gamma paper for my grad DB class. Struck by how ambitious the project was and how professional the work still feels 30+ years later.

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  17. proslijedio/la je Tweet
    29. sij

    New work on Visual QA on charts and graphs, with natural language Explanations. Code and dataset available!

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  18. proslijedio/la je Tweet
    29. sij

    Couldn’t be more excited about what we are building! Yet, even more excited about team, all brilliant and exceptional at working across team boundaries, engineering, research, business, we are all having fun and getting it done together!

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  19. proslijedio/la je Tweet
    29. sij

    Sure to be an interesting step forward in commercial-scale robotics. Indeed, congrats to all.

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  20. proslijedio/la je Tweet
    28. sij

    1/ A year ago, we wrote about the potential of serverless, but we felt existing infra had key shortcomings. We spent the last year solving some of the core challenges around FaaS + state management, and we're excited to share our progress:

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