What if I told you moving away from multi-level aggregates could actually speed up your reporting system? In this session, we look at how Druid can be used to retrieve data for reporting quickly and efficiently. We’ll discuss 3 reasons you should consider moving away from multi-level aggregates and 5 benefits gained by making the transition to Druid. Finally, we’ll take a brief look at the system architecture we built to support customer reporting needs.
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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