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 queries. In this keynote, FJ Yang, CEO and Co-Founder of Imply, will show real world examples of what’s possible with Druid from the 1000s of companies in production today and best practices for every developer building real-time analytics applications.
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 nowWave Money Transaction Analytics Journey
How Wave Money transformed its transaction history and analytics framework to support its millions of user needs with an event driven architecture.
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