Megan Lieu
Megan Lieu is a Data Advocate at Deepnote, where she talks about data science careers, workflows and tools. She also is a thought leader in the data space and writes daily on LinkedIn to an audience of 85k.
Sessions
Moving data in and out of a warehouse is both tedious and time-consuming. In this talk, we will demonstrate a new approach using the Snowpark Python library. Snowpark for Python is a new interface for Snowflake warehouses with Pythonic access that enables querying DataFrames without having to use SQL strings, using open-source packages, and running your model without moving your data out of the warehouse. We will discuss the framework and showcase how data scientists can design and train a model end-to-end, upload it to a warehouse and append new predictions using notebooks.