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.
Imply Polaris + Natural Intelligence: Powering Real-time Analytics & Observability
Imply Polaris provides the fastest path to real-time analytics by offering seamless data ingestion, auto-scaling capabilities, built-in visualization, and a secure, fully managed infrastructure. Watch this...
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From supporting ad-hoc queries across massive time series datasets to ensuring data freshness and scalability, our panelists will share insights into selecting the right database solutions that can deliver...
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...
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