Scaling Data Science with Modin
summary
Presentation explains how to scale Data Science workflows using Modin, a drop-in accelerated DataFrame library compatible with pandas. It describes using Modin to speed up and parallelize pandas-based data processing for larger datasets and higher performance without changing existing pandas code.
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chapters (16)
- 0:00Welcome
- 1:48Why Modin today
- 3:35Pandas standard
- 6:31Pandas big data issues
- 8:36Prototype to production gap
- 10:23What is Modin
- 17:15Modin for data scientists
- 23:01Modin technical details
- 27:22Modin parallelism engines
- 31:57Pandas replacement
- 33:02Modin cluster scalability
- 34:27Cloud cluster tasks
- 36:13Dask and SQL server integration
- 39:53Modin performance with Dask SQL
- 40:59Modin key benefits
- 41:43Q&A
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