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What's new in R2022-02

Big Data: new features

Feature

Description

Available in

Support of Spark Universal 3.1.x in Local mode You can now run your Spark Jobs using Spark Universal with Spark 3.1.x in Local 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 builds the Spark environment in itself at runtime to run the Job locally in Talend Studio.

All subscription-based Talend products with Big Data

Support of Databricks 8.0 and onwards with interactive clusters only on Spark Universal 3.1.x You can now run your Spark Jobs on an interactive Databricks cluster using Spark Universal with Spark 3.1.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 Databricks 8.0 and onwards versions.

Information noteImportant: As it is a beta feature only, it is not suitable for production environment.

All subscription-based Talend products with Big Data

Support of Google Dataproc 2.0.x on Spark Universal 3.1.x You can now run your Spark Jobs on a Google Dataproc cluster using Spark Universal with Spark 3.1.x. You can configure it in the Spark Configuration view of your Spark Jobs.

When you select this mode, Talend Studio is compatible with Dataproc 2.0.x version.

Information noteImportant: As it is a beta feature only, it is not suitable for production environment.

All subscription-based Talend products with Big Data

Support of Atlas URI connection and X.509 authentication in MongoDB metadata You can now set the following parameters during the creation of MongoDB connection metadata with MongoDB 4.4.x and later versions:
  • Use connection string to establish the connection using MongoDB Atlas URIs.
  • X509 option from the Authentication mechanism drop-down list to authenticate using X.509 certificates.

All subscription-based Talend products with Big Data

New components to read and write data on Amazon DocumentDB in Standard Jobs New components are now available to read and write data on Amazon DocumentDB database in Standard Jobs:
  • tAmazonDocumentDBConnection to create a connection to the Amazon DocumentDB database and reuse that connection in other components.
  • tAmazonDocumentDBInput to retrieve records from a collection in the Amazon DocumentDB database and transfer them to the following component for display or storage.
  • tAmazonDocumentDBOutput to execute the action defined on the collection in the Amazon DocumentDB database.
  • tAmazonDocumentDBClose to close a connection to the Amazon DocumentDB database.

All subscription-based Talend products with Big Data

Data Integration: new features

Feature

Description

Available in

New components to read and write data on Tableau New components are now available to read and write data on Tableau:

tTableauInput and tTableauOutput

All subscription-based Talend products with Talend Studio

New components for managing files using Samba v2 or higher New components are now available to manage files using Samba v2 or higher:

tSambaConnection, tSambaClose, tSambaGet, tSambaInput, tSambaOutput, and tSambaPut

All subscription-based Talend products with Talend Studio

Support of access to Microsoft Dynamics CRM on premises through OAuth2 (AD FS) You can now access Microsoft Dynamics CRM on premises through OAuth2 (AD FS) in Talend Studio

All subscription-based Talend products with Talend Studio

Support of Couchbase version 7.0 Talend Studio now supports Couchbase version 7.0.

All subscription-based Talend products with Talend Studio

Application Integration: new features

Feature

Description

Available in

Using project connection to publish to Cloud and to access APIs You can now publish artifacts to Talend Cloud and access APIs leveraging the project connection instead of the Cloud connection configured in the Talend Studio preferences if you have logged on to a Cloud project.

All Talend Cloud with Big Data and Data Fabric products

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