Apache Druid 24.0 has some amazing new capabilities. One of the most exciting ones is the ability to load complex nested JSON structures automatically. In this session we review the motivation for this feature; the complexity of dealing with nested and dynamic JSON data. We’ll show how it is now extremely simple to ingest and query this type of data. We’ll talk about Druid’s ability to deal with changing schemas in the nested JSON and how every JSON field is indexed to provide speed at query time. We’ll also take a look at early benchmarks with some pretty impressive results. If you’ve dealt with flattening data in the past, you won’t want to miss this session!
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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