Situational Intelligence with Analytics in Motion
summary
Imply uses Apache Druid to combine streaming and batch data for interactive analytics with sub-second queries and support for millions of events per second. Claims include 3–5× faster query times, cost reductions of 50% or more (one customer reports 10× lower TCO), and a 500 ms end-to-end latency for a banking AML workflow. Deployments: a Mopub ad platform handling 100 billion events per day, and a manufacturer saving about $1 billion a year from faster defect detection.
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chapters (23)
- 0:00Introduction
- 0:48Analytics
- 1:35RealTime Analytics
- 2:45Analytics in Motion
- 3:54Existing Solutions
- 4:58Use Cases
- 6:02Requirements
- 6:53Apache Druid
- 7:16Implied Analytics
- 8:18Pivot
- 8:54Data Architecture
- 9:33Performance
- 9:57Twitter
- 11:13Employee
- 12:43Bank
- 14:39Manufacturing
- 15:28Consolidation
- 16:19Reducing Fraud
- 17:15Hot Data Use Case
- 18:31Key Requirement
- 19:40Customers
- 20:34Company Overview
- 21:14Get Started
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