Python Custom Scripting - Arm Treasure Data Feature Overview

We're proud to announce the new Python Custom Scripting feature for the Arm Treasure Data platform! We've added the ability to run custom python scripts directly in your treasure data workflow as part of the Treasure Data Platform. This means you can schedule your custom python scripts directly from your workflows, dig deeper into your data beyond what was previously possible, but most importantly it enables data scientists to run their machine learning (ML) pipeline directly from Python. So all you TensorFlow and Keras users out there, this is your call to action to process your data on Treasure Data and build the future together with us!

In this video, we cover what Python custom scripting is, how to use Python custom scripting in Treasure Data’s console/web interface or CLI, and popular use cases. Popular use cases include data ingestion and export, enables complex data processing, and productionize data science work by enabling ML frameworks to be run as part of regularly scheduled Treasure Workflows.

Write Python scripts, write YAML file for Treasure Workflow, and run workflow to get started. Report predicted graph to Slack or through email.

This video also covers how to use the web interface to edit a project, run a python file, and view its output. Demo starts at 4:06.