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Demo: How Imply Plus Kafka Enables Self-service Hot Analytics

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Hot analytics is for when you need to data in and data out lightning fast, for quick ad-hoc exploration, drill-down, and decision-making by businesspeople. Use cases include fraud analytics, network performance, A/B testing, ad campaign effectiveness, click-stream user analytics, and many more. In this demo from Kafka Summit 2020, we'll show you how Imply plus Kafka enables self-service hot analytics through a real-time data platform.

Imply transforms how businesses run by integrating real-time analytics into their operations. Founded by the authors of the Apache Druid database, Imply provides a cloud-native solution that delivers real-time ingestion, interactive ad-hoc queries, and intuitive visualizations for many types of event-driven and streaming data flows. Imply has operations in North America, Europe, and Asia Pacific and is backed by Andreesen Horowitz, Khosla Ventures, and Geodesic Capital.

Connect
Website: https://imply.io/
Linkedin: https://www.linkedin.com/company/imply/
Twitter: https://twitter.com/implydata
Github: https://github.com/implydata
Slideshare: https://www.slideshare.net/implydata

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