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.
Physical Hardware, Digital Analytics: IoT Challenges, Best Practices, and Solutions
Electric vehicle maker Rivian and German startup Thing-it were kind enough to talk us through how real-time data and analytics play a key part in the evolving landscape of IoT (Internet of Things). The wealth...
Watch nowAnalyzing streaming data with Apache Druid
Streaming data is not only data in motion—it’s a potential source of valuable insights, ready to be harvested and utilized. The challenge is to analyze streaming data at scale and extract these insights—before...
Watch nowReal-Time Analytics in the Real World
Engineering teams increasingly have to deliver insights in real-time. But as they aim to reduce latency from event-to-insight, they also face the challenge of dealing with larger and more complex data and concurrent...
Watch now