Getting Started with Datasets on Red Hat Marketplace

by Sara Hagen

Partner Business Development Leader, Red Hat Marketplace

In September 2020, Red Hat and IBM announced the launch of Red Hat Marketplace, a one-stop-shop to find, try, buy, deploy, and manage enterprise tools, applications and services across an organization’s hybrid IT infrastructure, including on-premises and multicloud environments. Our aim is to provide resources to help enterprise developers using Red Hat OpenShift who are being asked to rapidly develop strong, more secure and compliant apps in hybrid cloud environments. Today, I’m excited to share the latest addition to Red Hat Marketplace that will help developers use data to solve problems, innovate, and drive new application development: public datasets.

Take advantage of more than 100 free, downloadable datasets on Red Hat Marketplace

Together, we’ve curated an initial selection of datasets with input from our enterprise clients and with a focus on topics at the heart of our end customers’ needs or current situations. These include high-demand datasets related to COVID-19, the U.S. Census, employment figures, demographics, weather, city data, and more. Our goal is to enable you to find and use raw data, as well as Kubeflow Pipelines, and most importantly, to send your chosen dataset to the application of your choice running on the Red Hat OpenShift cluster of your choice. Let’s dive into some of the key questions about the datasets available on Red Hat Marketplace.

What can developers do with the datasets and why is this important?

Developers now have a single location where they can access enterprise applications and public datasets to build their applications. This provides a more streamlined experience, resulting in less searching and faster development cycles.

Datasets available via Red Hat Marketplace are ideal for developers working with data in an open hybrid cloud environment because developers are free to use any tool or environment when downloading the data.

An example of data you will find on Red Hat Marketplace today is the COVID-19 Vaccine Distribution Allocations by Jurisdiction for both Pfizer and Moderna from the CDC. This dataset lists the allocations of doses that will be made available for states and jurisdictions to order against and is updated daily. This data can be used by developers who are, for example, building applications for COVID-19 recovery plans or integrations into existing applications that include specific plans for their organizations.

Will there be more datasets coming in the months ahead? Will there be any new categories added?

Our plan is to add more datasets throughout 2021 from existing and new sources to ensure we have a robust dataset category in Red Hat Marketplace that stays relevant to the types of apps developers are creating. We are also planning to offer access to models and application programming interfaces (APIs).

Are there any limitations for how I can use data from the datasets available on Red Hat Marketplace?

All of the datasets we’ve made available on Red Hat Marketplace have licenses provided from the source that outline how the data can be used and any relevant copyright or distribution information. We’ve made all licensing information available for each dataset, and we’ve provided links to the license information and additional resources.

How can I request more information about datasets or request additional datasets be added to Red Hat Marketplace?

We recommend reviewing the documentation on Red Hat Marketplace specifically created for datasets. While exploring the dataset category you can find a chat icon at the bottom right to request additional information. There is also a “Feedback” tab on the right side of the screen which you can use to suggest additional datasets for Red Hat Marketplace.

Learn more about Red Hat Marketplace

  • Check out IBM Developer and Red Hat Developer to learn more or to get started with Red Hat Marketplace
  • Watch a video that shows how Red Hat Marketplace can streamline software deployment and how to get started with automated software deployments onto Red Hat OpenShift clusters.