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Databricks recently held a webinar on how they worked with Virgin Hyperloop One engineers.

They discuss the goals, implementation, and outcome of moving from Pandas code to Koalas code and using MLflow. Lots of code, notebooks, demos, etc.

Come hear Patryk Oleniuk, Software Engineer at Virgin Hyperloop (VHO) discuss how VHO has dramatically reduced processing time by 95%, while changing less than 1% of previously single-threaded, pandas-based python code. Attendees of this webinar will learn:

How VHO leverages public and private transportation data to optimize Hyperloop designHow to ‘Sparkify’ (scale) your pandas code by using ‘Koalas’ with minimal code changesHow to use ‘Koalas’ and MLflow for sweeping machine learning models and experiment resultsFeatured SpeakersPatryk Oleniuk, Lead Data Engineer, Virgin Hyperloop OneYifan Cao, Senior Product Manager, Databricks 

Resources:

Slides: https://www.slideshare.net/databricks/from-pandas-to-koalas-reducing-timetoinsight-for-virgin-hyperloops-data

Koalas Notebook: https://pages.databricks.com/rs/094-YMS-629/images/koalas_webinar_code%20-%20Copy.html

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