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.
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
What lies ahead for Apache Druid? Join us as we explore the evolving landscape of Druid’s query and storage engines, and how they are positioned to address the biggest challenges in event data for the future. Speaker: Gian...
Watch nowSalesforce: Tracing Service Dependencies at Scale with Druid and Flink
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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