Automated free text feature engineering uses sophisticated algorithms under the hood to allows far better prediction from free text fields. This complements the date feature engineering capability we released last year, which automatically parses dates into usable features. Organizations now have role-based access control for AutoML users. We’ve added two new user roles to support AutoML – experiment contributors and deployment contributors, which can be assigned to specific users or groups. With this, you can now control and limit access to AutoML to the right types of users.

In this video, we will see how Run SQL Script workflow task works in Astera Data Stack. The Run SQL Script task provides flexibility to write an SQL code within Astera and execute it as part of a workflow.

In this video, we will learn how to seamlessly integrate Salesforce databases into Astera Data Stack for efficient data extraction and loading. This video provides step-by-step guidance on configuring the Salesforce Database connector. Learn the process of establishing a successful connection and leveraging Salesforce data within your dataflows.

Discover Astera’s Data Pipeline Builder, the no-code solution for easy data integration in today's businesses. With its user-friendly drag-and-drop interface, integrating, cleaning, and transforming data has never been simpler. Watch our demo to see how Astera can automate your end-to-end data management lifecycle, boosting your organization's efficiency. Start watching to accelerate your data integration tasks!

Tired of starting online tutorials only to realize they don't work on your machine? We've integrated Gitpod into our Confluent Developer courses to streamline your learning experience. See how it works in this short introduction video.

No matter where you are in your data journey, Cloudera and AWS can help maximize your insights – providing flexibility, scale, and governance.