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#apachedruid — Public Fediverse posts

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

  1. How #Netflix boosted #ApacheDruid performance: by implementing interval-aware caching, they now serve 84% of analytics results from cache and have reduced query load by 33%.

    The secret? Decomposing rolling window queries into reusable time segments.
    ✅ Reduces scan volume
    ✅ Improves P90 latency
    ✅ Optimizes real-time analytics

    Details on #InfoQ: bit.ly/4uHG4DE

    #SoftwareArchitecture #DistributedSystems #DataAnalytics #TimeSeriesData #Caching #BigData #DataEngineering

  2. How #Netflix boosted #ApacheDruid performance: by implementing interval-aware caching, they now serve 84% of analytics results from cache and have reduced query load by 33%.

    The secret? Decomposing rolling window queries into reusable time segments.
    ✅ Reduces scan volume
    ✅ Improves P90 latency
    ✅ Optimizes real-time analytics

    Details on #InfoQ: bit.ly/4uHG4DE

    #SoftwareArchitecture #DistributedSystems #DataAnalytics #TimeSeriesData #Caching #BigData #DataEngineering

  3. How #Netflix boosted #ApacheDruid performance: by implementing interval-aware caching, they now serve 84% of analytics results from cache and have reduced query load by 33%.

    The secret? Decomposing rolling window queries into reusable time segments.
    ✅ Reduces scan volume
    ✅ Improves P90 latency
    ✅ Optimizes real-time analytics

    Details on #InfoQ: bit.ly/4uHG4DE

    #SoftwareArchitecture #DistributedSystems #DataAnalytics #TimeSeriesData #Caching #BigData #DataEngineering

  4. How #Netflix boosted #ApacheDruid performance: by implementing interval-aware caching, they now serve 84% of analytics results from cache and have reduced query load by 33%.

    The secret? Decomposing rolling window queries into reusable time segments.
    ✅ Reduces scan volume
    ✅ Improves P90 latency
    ✅ Optimizes real-time analytics

    Details on #InfoQ: bit.ly/4uHG4DE

    #SoftwareArchitecture #DistributedSystems #DataAnalytics #TimeSeriesData #Caching #BigData #DataEngineering

  5. How boosted performance: by implementing interval-aware caching, they now serve 84% of analytics results from cache and have reduced query load by 33%.

    The secret? Decomposing rolling window queries into reusable time segments.
    ✅ Reduces scan volume
    ✅ Improves P90 latency
    ✅ Optimizes real-time analytics

    Details on : bit.ly/4uHG4DE

  6. Me has sabido enamorar y destrozar el corazón en menos de tres horas, #ApacheDruid

  7. #Current23 is the next generation of #KafkaSummit, so expect some #apacheKafka talks. But there's room for everyone! #apacheDruid, #apacheFlink, #ETL, #dataMesh, #machineLearning, #IoT, #databases...

    We have room for talks on the unique #devops challenges of monitoring and managing any of these systems; talks on #sociotechnical impact of rearchitecting your business for streaming; #streaming in academia; and just plain fun and geeky sessions.

    The list goes on and on!