New features

Shared features

Feature	Description
Ability to import transitive dependencies as libraries for global Routine, global Bean, custom Routine JAR, and custom Bean JAR	A new Add transitive dependencies check box is provided in the Module dialog box when editing libraries for global Routine, global Bean, custom Routine JAR, and custom Bean JAR, which allows you to import transitive dependencies of a library file or a POM file. For more information, see Editing user routine libraries and Editing Bean libraries.

Application integration

Feature	Description
New cJSLT component in Routes	The new cJSLT component allows you to transform JSON messages using JSLT templates.

Big Data

Feature	Description
Support for Hive 3 in Standard Jobs	You can now run your Standard Jobs using Hive 3. You can configure it in the Basic settings view of Hive components. With this feature, the property name changes from Hive server to Hive version.
Support for CDP Public Cloud Data Hub 7.2.18 with Spark Universal 3.3.x	You can now run your Spark Batch and Spark Streaming Jobs on CDP Public Cloud Data Hub with AWS, Azure, and GCP using Spark Universal with Spark 3.3.x. 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 CDP Public Cloud Data Hub 7.2.18 version. With this feature, the Knox authentication is supported, but HBase is not supported. For more information on Spark Universal, see Spark Universal support for Hadoop distributions in Talend Studio.

Feature

Description

Support for Hive 3 in Standard Jobs

You can now run your Standard Jobs using Hive 3. You can configure it in the Basic settings view of Hive components.

With this feature, the property name changes from Hive server to Hive version.

Hive component Basics settings view in a Standard Job.

Support for CDP Public Cloud Data Hub 7.2.18 with Spark Universal 3.3.x

You can now run your Spark Batch and Spark Streaming Jobs on CDP Public Cloud Data Hub with AWS, Azure, and GCP using Spark Universal with Spark 3.3.x. 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 CDP Public Cloud Data Hub 7.2.18 version.

With this feature, the Knox authentication is supported, but HBase is not supported.

For more information on Spark Universal, see Spark Universal support for Hadoop distributions in Talend Studio.

Continuous Integration

Feature	Description
Talend CI Builder upgraded to version 8.0.18	Talend CI Builder is upgraded from version 8.0.17 to version 8.0.18. Use Talend CI Builder 8.0.18 as well as Maven version 3.6.3 or above 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
Support for Account authentication method in tFTPConnection in Standard Jobs	The 'Password and account' authentication type has been added to the tFTPConnection component and allows you to access an FTP server using the account name associated with a specific user.
Support for Azure Key vault for column encryption and decryption in MSSql components in Standard Jobs	The 'Enable always encrypted' option has been added to the MSSql components and allows you to encrypt and protect your data using Azure Key vault to store secrets.
Support for JSON payload normalization in tHTTPClient in Standard Jobs	The 'Normalize the JSON HTTP response' option has been added to the tHTTPClient component and the HTTP Client cloud connector, and allows you to normalize inconsistencies in JSON payloads in order for the component to correctly parse these documents.

Data Quality

Feature	Description
tMatchGroup for Spark Batch	You can now use the tMatchGroup component in the Spark Batch Job framework. This component creates groups of similar data records in any source data including large volumes of data by using one or several match rules. For more information, see tMatchGroup.