- Data Integration
- All Products
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 create and run a dynamic mapping task.
Learn how to create a Google BigQuery mapping to calculate sales data over a period of time.
Learn how to create an elastic mapping with a Microsoft Azure Data Lake Storage Gen2 connector.
Learn how to create an optimized Google BigQuery mapping task.
Learn how to use Data Preview to troubleshoot errors in mappings and target data.
Learn how to create an SAP Ariba connection and then map the Ariba source to flat file targets.
Learn how to load ServiceNow source data to flat file targets.
Learn how to use the Hierarchy Processor transformation to modify the schema of hierarchical data in an elastic mapping.
Learn how to optimize mapping performance when you load data to a cloud data warehouse.
Learn how to optimize ecosystem mapping performance using pushdown optimization.
Learn how to optimize mapping performance when you load data from Type 2 Slowly Changing Dimension tables.
Learn about the features and benefits of pushdown optimization (PDO).
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.
This video shows how to configure pushdown optimization and optimize the Snowflake mapping performance.
Learn how a third-party scheduler can use Informatica’s RunAJob utility to start a taskflow job.
Learn how to configure recovery for PowerCenter workflows and Cloud Data Integration taskflows.
Learn how to use an Amazon DynamoDB V2 connection to write data of the struct type to an Amazon DynamoDB V2 target
Learn about the differences in object versioning between PowerCenter and Cloud Data Integration.
View a quick introduction to Cloud Data Integration.