The audience will get to learn about one of the largest migrations that Splunk’s observability group did by moving their 27 OSS Druid clusters to Imply’s Enterprise Hybrid deployment. The session will dive deeper into data compaction and the related challenges due to the large scale of the clusters and will walk the audience through how Splunk and Imply worked together to get past the challenges and make data compaction work.
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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