Now you can write Python code and seamlessly share it with your projects via Git, all from the comfort of your web browser!

Workspaces are perfect for:

• Boosting your productivity: Focus on coding, not on your setup, with our pre-configured development environment.

• Scaling your projects: Workspaces come with configurable resources to meet your project's demands when you need more processing power.

• Collaborating with ease: Share your code seamlessly with your team, using Git integration.

Read more about Workspaces

One essential aspect of RapidMiner projects is the fact that they allow users with various skills (analysts, coders, data scientists, etc.) to collaborate in an environment where they can share and use the tools familiar to each of them.

Now, we are introducing a new Planning tab to improve collaboration and information sharing, and to allow project managers to follow up and track progress.

The Planning tab implements an integration with Atlassian Jira and Confluence, de facto standards in project management.

As mentioned in a previous blog, we are on a journey to develop and improve the connectivity between RapidMiner Cloud and any external data sources. The goal is to allow users to incorporate external data into their workflows, be it as input or output.

We plan to incorporate connectivity in 4 phases, and we have now completed phase 2:

• Phase 1: connections are available, but the user still needs Studio to create and edit them (complete).
• Phase 2: it will be possible to add and edit connections directly in the cloud (complete).
• Phase 3: connections will be shareable among multiple users and projects.
• Phase 4: it will be possible to create connection templates which can be shared in a secure way without credentials or other sensitive data.

Phase 2 is actually the most important, because it makes connections usable in any RapidMiner project. The remaining task is to improve connection management for large environments.

Data access in RapidMiner​

The RapidMiner platform includes connection objects that give workflows access to external data. Supported external data sources include:

• traditional JDBC databases,
• NoSQL,
• cloud repositories (S3, Azure DataLake, Google BigData, Salesforce),
• some industry-specific, like SensorLink, and
• many others.

All these connections are now available in the cloud. Connections belong to projects and they can be used in Designer workflows.

Projects in RapidMiner are great! A project is the place for collaboration around a data science endeavor where the end goal is to create some value to the enterprise.

To truly realize value of such a project, one needs to integrate its results into the daily life of the enterprise. That's where deployments come into the picture!

The migration tool will help you to migrate your projects from Altair AI Studio / Altair AI Hub to our new cloud platform. Download the migration tool from here:

Windows: https://releases.rapidminer.com/cloud/migration-tool/v3/ai-cloud-migration-2024.0.3-win64.zip

Linux: https://releases.rapidminer.com/cloud/migration-tool/v3/ai-cloud-migration-2024.0.3-any.zip

MacOS: https://releases.rapidminer.com/cloud/migration-tool/v3/ai-cloud-migration-2024.0.3-osx.dmg

Our new cloud platform should look familiar to you, if you are a previous user of RapidMiner Studio / RapidMiner AI Hub.

As before, teams can collaborate when developing data science projects, deploying the results to generate business value. The new platform actually doubles down on the idea of a multi-persona, multi-skills environment, but in a new setting where all the hassle of deployments, upgrades, and maintenance goes away.