New features

Shared features

Feature	Description
New Talend Studio release lifecycle	You can now choose a monthly release or a support release when updating Talend Studio. Monthly releases include new features, improvements, bug fixes, and security updates. Support releases include CVE and support issue fixes without new and preview features. For more information, see Understanding the update lifecycle for Talend Studio.
Enhancement of AI assistant (Qlik Answers) in Talend Studio	You can now use the AI assistant in Talend Studio to modify both input and output schemas in the tMap component. It can add, remove, or rename columns and update column properties, so you can make schema changes without editing each table manually.

Big Data

Feature	Description
Update of Spark Batch and Spark Streaming names and icons	In the repository view, Big Data Batch and Big Data Streaming under Job Designs are now named Spark Batch and Spark Streaming. In the Metadata repository view, Big Data Configurations is now Spark Cloud Configurations. For Structured Streaming Jobs, the Run tab now shows Spark Configuration instead of Structured Streaming Configuration. Spark Batch, Spark Streaming, and Joblet now use updated icons.
Support for EMR 8.0 with Spark 4.0.2 and EMR 8.1 with Spark 4.1 in Spark Batch Jobs	You can now run your Spark Batch Jobs on an Amazon EMR cluster using Spark Universal with Spark 4.x in Yarn cluster mode. You can configure it either in the Spark Configuration view of your Spark Jobs or in the Hadoop Cluster Connection metadata wizard. When you select this mode, Talend Studio is compatible with Amazon EMR 8.0 (Spark 4.0.2) and Amazon EMR 8.1 (Spark 4.1.1).

Feature

Description

Update of Spark Batch and Spark Streaming names and icons

In the repository view, Big Data Batch and Big Data Streaming under Job Designs are now named Spark Batch and Spark Streaming.
In the Metadata repository view, Big Data Configurations is now Spark Cloud Configurations.
For Structured Streaming Jobs, the Run tab now shows Spark Configuration instead of Structured Streaming Configuration.
Spark Batch, Spark Streaming, and Joblet now use updated icons.

Support for EMR 8.0 with Spark 4.0.2 and EMR 8.1 with Spark 4.1 in Spark Batch Jobs

You can now run your Spark Batch Jobs on an Amazon EMR cluster using Spark Universal with Spark 4.x in Yarn cluster mode. You can configure it either in the Spark Configuration view of your Spark Jobs or in the Hadoop Cluster Connection metadata wizard.

When you select this mode, Talend Studio is compatible with Amazon EMR 8.0 (Spark 4.0.2) and Amazon EMR 8.1 (Spark 4.1.1).

Continuous Integration

Feature	Description
Upgrade of Talend CI Builder to version 8.0.40	The Talend CI Builder is upgraded to version 8.0.40. Use Talend CI Builder 8.0.40 in your CI commands or pipeline scripts from this monthly version onwards until a new version of Talend CI Builder is released.

Data Integration

Feature	Description
Dependency updates in Google Storage and BigQuery components	The Google Storage and BigQuery components now use updated dependencies.
Support for custom HTTP headers in SAP OData components	You can now set custom HTTP headers for requests sent by SAP OData components to meet the requirements of your SAP OData services.
Improved tQlikOutput selector behavior	When you reopen the Space or Knowledge base selector, the current value is preselected if it matches an available option. This makes it easier to verify or change the configured value.

Data Mapper

Feature	Description
Preview AI assistant (Qlik Answers) for tDSQL4JSON	You can now use the AI assistant (Qlik Answers) with the tDSQL4JSON component to generate a DSQL script based on a prompt and a JSON file.

Data Quality

Feature	Description
New tStandardizeDate component	The tStandardizeDate component standardizes values in one or more date columns by using built-in or custom input patterns. It adds a Date-typed standardized column to the main flow and can route values that cannot be parsed to a reject flow.
Migration of geocoding components to Places API (New)	The tGoogleGeocoder, tGoogleAddressRow, and tGoogleMapLookup components now use Places API (New) instead of the legacy Places API XML endpoints. Enable Places API (New) for your project and use an API key configured for it. Existing output schemas and status values are unchanged.