On-demand training

Transformation processing with PyStarburst

In this session, learn how to differentiate SQL-based data engineering from programming-based, understand how PyStarburst implements lazy execution with Starburst Galaxy, explore the DataFrame API, and write Python code to perform analytical questions and transformation processing.

Follow along with this lab guide. If you’d like to do this lab on your own, reach out to lester.martin@starburstdata.com.

Get started with Starburst Galaxy

Start Free with
Starburst Galaxy

Up to $500 in usage credits included

  • Query your data lake fast with Starburst's best-in-class MPP SQL query engine
  • Get up and running in less than 5 minutes
  • Easily deploy clusters in AWS, Azure and Google Cloud
For more deployment options:
Download Starburst Enterprise

Please fill in all required fields and ensure you are using a valid email address.