- Data Integration
- All Products
Learn about some of the new features in the February 2024 release of Cloud Data Integration.
Learn about the new features and enhancements in the October 2023 release of Cloud Data Integration.
See how IntegrationOps addresses the production challenges of operationalizing complex workflows that involve third-party applications.
Learn how the Machine Learning transformation uses a REST API to run a machine learning model and return predictions to an elastic mapping.
Learn how to quickly copy mappings to advanced mode.
Learn how to create and run a dynamic mapping task.
Learn how to use Data Preview to troubleshoot errors in mappings and target data.
Learn how you can leverage FinOps capabilities in Cloud Data Integration to reduce your cloud infrastructure costs.
Learn how to use the Hierarchy Processor transformation to modify the schema of hierarchical data in an elastic mapping.
See how organizations can avoid cost overruns and govern the total cost of ownership (TCO) across the data engineering lifecycle.
Learn how to optimize elastic mapping performance with CLAIRE tuning. CLAIRE tuning uses artificial intelligence to optimize Spark engine performance and reduce the time it takes to perform mapping tasks.
Learn how to configure recovery for PowerCenter workflows and Cloud Data Integration taskflows.
Learn how to set up a local cluster on an existing Secure Agent machine to run mappings in advanced mode.
Learn how to set up a self-service cluster on Amazon EKS with Informatica Cloud Data Integration.
Learn how a third-party scheduler can use Informatica’s RunAJob utility to start a taskflow job.
Learn how to use the Command Task and Notification Task steps in a taskflow.
Learn about the differences in object versioning between PowerCenter and Cloud Data Integration.
View a quick introduction to Cloud Data Integration.