Druid is a powerful tool that has paved the way for a whole new wave of data-focused tech. In the Confluence Analytics team, we ingest millions of events every day and use this tool to power a plethora of features that make Confluence smarter, empowering users with their own data. All with sub-second query latency. In this talk, we’ll dive into how Druid serves as the backbone of our tech stack and how Druid’s robust set of features such as lookups have allowed us to perform complex ingestion tasks. We will also be covering Atlassian’s plans to incorporate Druid’s latest developments in SQL based ingestion to optimize our backfill workflow.
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