Webinar Recording Open Source Data Science Workflow

OmniSci and RAPIDS: An End-to-End Open-Source Data Science Workflow

Presented By Randy Zwitch
Randy Zwitch
Randy Zwitch
Senior Developer Advocate at OmniSci

Randy Zwitch is a Senior Developer Advocate at OmniSci, enabling customers and community users alike to utilize OmniSci to its fullest potential. With broad industry experience in Energy, Digital Analytics, Banking, Telecommunications and Media, Randy brings a wealth of knowledge across verticals as well as an in-depth knowledge of open-source tools for analytics. 

Presentation Description

In this session, attendees will learn how the OmniSci GPU-accelerated SQL engine fits into the overall RAPIDS partner ecosystem for open-source GPU analytics. Using open bike-share data, users will learn how to ingest streaming data from Apache Kafka into OmniSci, perform descriptive statistics and feature engineering using both SQL and cuDF with Python and return the results as a GPU DataFrame. By the end of the session, users should feel comfortable that an entire data science workflow can be accomplished using tools from the RAPIDS eco-system, all without the data ever leaving the GPU.

Presentation Curriculum

OmniSci and RAPIDS: An End-to-End Open-Source Data Science Workflow
38:24
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