Apache Druid 24.0 has some amazing new capabilities. One of the most exciting ones is the ability to load complex nested JSON structures automatically. In this session we review the motivation for this feature; the complexity of dealing with nested and dynamic JSON data. We’ll show how it is now extremely simple to ingest and query this type of data. We’ll talk about Druid’s ability to deal with changing schemas in the nested JSON and how every JSON field is indexed to provide speed at query time. We’ll also take a look at early benchmarks with some pretty impressive results. If you’ve dealt with flattening data in the past, you won’t want to miss this session!
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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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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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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