12-05, 14:00–15:30 (UTC), AI/ML Track
A beginner level hands-on introduction to BigQuery DataFrames. Please bring your laptop! There is nothing to install in advance.
This hands-on tutorial will include a mix of slides and programming examples.
If you have used DataFrames in Python before you know there are times when you get limited by local compute and memory for large scale data processing or ML training. BigQuery DataFrames is an open source library that takes away that limitation without having to rewrite the code. Learn more about this transparent scaling and other exciting additions that can change how you develop data and ML applications.
We'll cover using BigQuery DataFrames with structured and unstructured data, including with traditional machine learning algorithms and LLMs. There is nothing to install in advance, and no credit card is required. This tutorial is a great way to get started with BigQuery DataFrames, and the speakers will be available after to chat with you 1:1.
No previous knowledge expected
Tim Swena is the team lead for BigQuery DataFrames and a contributor to pandas, geopandas, ibis, and many other projects in the PyData ecosystem.
Alicia is a developer advocate for Google Cloud. Previously she spent six years as a program manager, where building, managing, and measuring programs and processes sparked her interest in data analytics. A long-time believer in the power of spreadsheets, she also uses machine learning, SQL, and visualizations to help solve problems and weave together stories.
