Have you ever wanted to run multiple notebooks in sequential and parallel order with one click? If so, come join our Intro to Elyra - an AI centric extension for JupyterLab session to learn how you can get set up and running with Elyra!
This workshop introduces users how to run data science notebooks with Elyra - an AI centric extension for JupyterLab. The notebook pipeline downloads a free dataset from Data Asset eXchange, then extracts, cleanses and analyzes the data file. The cleaned data file is subsequently used to predict certain weather features.
In this session you will have a hands-on opportunity to learn how to build an Elyra pipeline. Get a head start today by checking out Elyra AI github repo→ https://github.com/elyra-ai/elyra
What you'll learn, and how you can apply it In this hands-on workshop developers will learn: What is Elyra used for? What functions does Elyra have? e.g. such as Kubeflow runtime, pipelines, ENV setup What are the benefits of Elyra? How a developer/data scientist can use Jupyter notebooks, such as The Weather Project from the Data Asset eXchange? How to contribute to the open source project Elyra and how to potentially become a committer How to use Kubeflow to view results?