Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a collaborative effort between Two Sigma and Voltron Data to enhance featurization workflow performance using Ibis, Substrait, and Apache Arrow in this 31-minute conference talk. Learn about the evolution of open-source data science at Two Sigma, featurization challenges, and the key components of this powerful software stack. Dive into Apache Arrow's high-performance data representation, Ibis' high-level APIs for data processing and analysis, and Substrait's machine learning framework. Discover how this integrated solution enables real-time streaming data processing, providing fast and accurate insights for decision-making. Gain valuable knowledge about the future of data science interfaces and their potential to work with multiple data engines.
Syllabus
- Introductions
- How I Met Wes McKinney
- Timeline of Open Source Data Science at TS
- Featurization Challenges
- About Wes McKinney
- Apache Arrow
- Ibis
- Substrait
- One Data Science Interface; Many Data Engines
- Look Ahead
Taught by
Open Data Science