Episode 1: The Lifecycle of MLOps from Data to Deployment to Governance

During the first episode of our three-part series, Hema Veeradhi, Senior Software Engineer with Red Hat, shares her perspective about data engineering in the context of MLOps, including:

● How to get started with data engineering,

● How to address challenges with acquiring and extracting data,

● What considerations are necessary to scope processing requirements for exploring and preparing data when dealing with data-hungry algorithms, and

● What data scientists and developers should have in place with data engineering before deploying models.