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 they go stale. Join this lightning talk on building real-time analytics for streaming data to see how you can use Apache Kafka with Apache Druid, the open source database for speed, scale, and streaming data. Learn how Druid makes it easy to ingest streaming Kafka data natively at scale, run SQL queries combining real-time and historical data, create interactive dashboards to visualize event data, and embed the dashboards into a web application. This presentation is brought to you by Imply, an AWS Partner.
Keynote: Powering Event-Driven Data with Apache Druid
The distinction between OLTP and OLAP is becoming less relevant as data architectures shift toward entities and events. In this session, we’ll delve into how Apache Druid’s event-first approach synthesizes...
Watch nowClosing Keynote: Charting the Future of Druid
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At Salesforce, we manage approximately 300 million distributed spans to infer service dependencies. We have successfully utilized a combination of Druid and Flink to handle this scale with high availability....
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