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Real Time Data Science Made Easy

Open Data Science via YouTube

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Overview

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This talk introduces real-time data science systems, covering the motivation for real-time analysis, data movement and storage, design patterns, and reproducible analytics workflows.

Syllabus

- Introductions
- Scope of this talk
- Outline
- Why real-time?
- Build Real-Time Data Science Systems
- Where real-time data moves and lives
- Design Patterns
- Make it easy to write, test, run, and reproduce your analytics
- Review
- Questions?

Taught by

Open Data Science

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