Let's Get Real: Acting on Data in Real Time
summary
Real time means from data collection to business action, not just low-latency queries, and requires collapsing hundreds of operational silos into a converged data platform plus event-based flows. Examples include Altitude Digital serving 7 billion transactions a day for video ads, American Express protecting a trillion dollars of charge volume with a decision in less than two milliseconds, Baptist Health turning EMRs into a stream as system of record to enable faster care, and industrial users applying sensor feeds for immediate quality and drilling optimizations.
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chapters (14)
- 0:00Intro
- 0:35What is Real Time?
- 1:00Real Time is Required Everywhere Which of the following are important factors for real-time Hadoop requirements?
- 1:19High-Frequency Decisioning
- 2:15Yield Management Optimization
- 2:34National Oilwell Varco (NOV)
- 2:52American Express
- 4:28The Growing Complexity of Big Data Environments
- 4:58Key to Real Time: Convergence
- 5:26Key to Real Time: Event-based Data Flows
- 6:21Big Data is Generated One Event at a Time
- 6:35Event-based Data Drives Applications
- 7:13Health Care Use Case
- 8:06The Winners
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