Use the JupyterLab extension to:

• Connect your Notebook to a HPE ML Data Management cluster
• Browse, explore, and analyze data stored in HPE ML Data Management directly from your Notebook
• Run and test out your pipeline code before creating a Docker image

Install the Extension #

There are two main ways to install the Jupyter Lab extension:

• ⭐ Via Docker: Fastest implementation!
• 🧪 Locally: Great for development and testing

Examples #

Make sure to check our data science notebook examples running on HPE ML Data Management, from a market sentiment NLP implementation using a FinBERT model to pipelines training a regression model on the Boston Housing Dataset. You will also find integration examples with open-source products, such as labeling or model serving applications.