Dec 06, 2023

Splunk’s Journey to Imply: Data Compaction At Scale

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.

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Jan 29, 2024

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...

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Dec 11, 2023

Analyzing 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...

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Dec 06, 2023

Real-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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