Jun 22, 2020

Why we added JOINs in Apache Druid

The addition of JOINs simplifies data pipelines and creates substantial cost savings by reducing storage costs, data ingestion costs, and maintenance costs.

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Oct 22, 2024

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...

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Oct 22, 2024

Closing 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...

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Oct 22, 2024

Salesforce: 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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