Sometimes we want to understand how Druid will perform using various types of data, but the actual data may not be available. The developer relations team at Imply has created a data generator program that can simulate various types of data for you. This script may be helpful if you are creating a POC or projecting the performance of data that does not yet exist. In this session, we will introduce you to this generator, tell you how you can get it (it’s free), and explain how to configure it.
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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