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#distributeddata — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #distributeddata, aggregated by home.social.

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  1. #DuckDB has announced Quack - a new remote protocol over HTTP that enables multiple DuckDB instances to connect to and work with the same database across a network.

    Quack brings client-server capabilities to a database that has traditionally been local and embedded.

    🔗 Learn more: bit.ly/4foyrOp

    #InfoQ #AI #DataAnalytics #DistributedData

  2. #CaseStudy - Discover how #Uber evolved their distributed storage platform from static rate limiting to a priority-aware load management system to safeguard their in-house databases.

    This shift tackled the limits of QPS-based rate limiting in large, multi-tenant systems - handling noisy neighbors, and protecting tail latency.

    Read more on #InfoQ 👉 bit.ly/4rjf8IW

    #DistributedData #LowLatency #Sharding #LoadBalancing

  3. Check out Google's tiered storage for #Spanner – its distributed SQL database on Google Cloud!

    With this tiered storage, you can store older data on HDDs - 80% cheaper than SSDs - without the hassle of traditional migrations.

    Learn more on #InfoQ 👉 bit.ly/43NM5ov

    #CloudComputing #GoogleCloud #CostOptimization #HDD #DistributedData

  4. How do you create & operate planet-scale data storage solutions for derived data?

    How do you decide on the pieces that must be fitted to ensure a resilient operating system?

    🎧 Listen to the #InfoQ podcast with Felix GV, Principal Staff Engineer at LinkedIn, and discover the answers: bit.ly/41Fxw3A

    📄 #transcript included

    #database #DataStorage #DistributedData

  5. The #opensource distributed storage system #CubeFS has reached graduation status!

    CubeFS supports multiple access protocols, including POSIX, HDFS, S3 & its own REST API.

    Its key platform targets?
    ➡️Big data
    ➡️AI/LLM applications
    ➡️container platforms
    ➡️databases

    Learn more: bit.ly/3F7d2sQ

    #DistributedData #DevOps #InfoQ

  6. In our new #InfoQ #podcast, Deepthi Sigireddi dives deep into the architecture of cloud-native distributed databases, sharding, replication, and failover.

    🎧 Listen now 👉 bit.ly/3QRUXSD

    #CloudNativeArchitecture #Database #DistributedData #Sharding

  7. Uncover the secrets of CacheFront – Uber’s innovative #caching solution for its in-house distributed database, Docstore!

    Learn how it achieves over 40M reads per second & significant latency reductions: bit.ly/3T0l7mf

    #InfoQ #DistributedCache #Database #SQL #DistributedData #ChangeDataCapture

  8. Curious about #DistributedFileSystems?

    #InfoQ brings you an insightful article by Changjian Gao, exploring the design principles, innovations & challenges behind 3 representative systems:
    1️⃣ #GoogleFileSystem
    2️⃣ #Tectonic
    3️⃣ #JuiceFS

    Gain valuable insights: bit.ly/3pvnNxt

    #DistributedData #BigData