SQL is a powerful and elegant query language for databases. Druid is increasingly supporting and moving forward with SQL, which is arguably easier to learn and write than the original native (JSON) query language. This talk will discuss the Druid implementation of SQL, focusing on querying data. How does it work? What parts of SQL are and aren’t supported? What are some gotchas, and tips and tricks, for people new to it? We’ll focus on querying data. We’ll also briefly discuss the new multi-stage query engine and SQL syntax for ingesting or transforming data, but the main focus will be on writing good, efficient queries.
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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