Building on the content of our session from an earlier Druid Summit where we compared different solutions for computing percentiles, we’ll do a deeper dive into how to use the SpectatorHistogram extension. In this session we’ll introduce Spectator Histogram, a Druid extension and storage format that allows good approximations of distributions, can scale to Trillions of rows while maintaining good query performance and allows for native Percentile queries. This extension will be offered as Open Source by the time of the Summit.
Physical Hardware, Digital Analytics: IoT Challenges, Best Practices, and Solutions
Electric vehicle maker Rivian and German startup Thing-it were kind enough to talk us through how real-time data and analytics play a key part in the evolving landscape of IoT (Internet of Things). The wealth...
Watch nowAnalyzing streaming data with Apache Druid
Streaming data is not only data in motion—it’s a potential source of valuable insights, ready to be harvested and utilized. The challenge is to analyze streaming data at scale and extract these insights—before...
Watch nowReal-Time Analytics in the Real World
Engineering teams increasingly have to deliver insights in real-time. But as they aim to reduce latency from event-to-insight, they also face the challenge of dealing with larger and more complex data and concurrent...
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