Big Data: new features

Feature	Description	Available in
Support of Spark Universal	You can now run your Spark Jobs using Spark Universal with Spark 2.4.x or Spark 3.0.x, either in Local or Yarn cluster mode. Spark Universal is a mechanism that allows Talend Studio to be compatible with every big data distribution available for a given Spark version, using only a Hadoop configuration JAR file that contains all the necessary information to establish a connection to the cluster in Yarn cluster. Spark Universal gives you more agility by enabling a switch between the different Spark modes, distributions, or environments. You can configure your Spark Universal connection either in the Spark configuration view of your Job or in the Hadoop Cluster Connection metadata wizard from the Repository tree view:	All subscription-based Talend products with Big Data
Support of Kubernetes with Spark Universal 3.1.x	You can now run your Spark Jobs using Spark Universal with Spark 3.1.x in Kubernetes mode. You can configure your Spark Universal connection with Kubernetes either in the Spark configuration view of your Job or in the Hadoop Cluster Connection metadata wizard from the Repository tree view:	All subscription-based Talend products with Big Data
Support of Dynamic Schema in Spark Batch components	You can now use the Dynamic Schema in your Spark Jobs with the following components: tDeltaLakeInput tDeltaLakeOutput tFileInputParquet tFileOutputParquet tJDBCInput tJDBCOutput tLogRow tSqlRow	All subscription-based Talend products with Big Data

Feature

Description

Available in

Support of Spark Universal

You can now run your Spark Jobs using Spark Universal with Spark 2.4.x or Spark 3.0.x, either in Local or Yarn cluster mode.

Spark Universal is a mechanism that allows Talend Studio to be compatible with every big data distribution available for a given Spark version, using only a Hadoop configuration JAR file that contains all the necessary information to establish a connection to the cluster in Yarn cluster.

Spark Universal gives you more agility by enabling a switch between the different Spark modes, distributions, or environments.

You can configure your Spark Universal connection either in the Spark configuration view of your Job or in the Hadoop Cluster Connection metadata wizard from the Repository tree view:

All subscription-based Talend products with Big Data

Support of Kubernetes with Spark Universal 3.1.x

You can now run your Spark Jobs using Spark Universal with Spark 3.1.x in Kubernetes mode.

You can configure your Spark Universal connection with Kubernetes either in the Spark configuration view of your Job or in the Hadoop Cluster Connection metadata wizard from the Repository tree view:

All subscription-based Talend products with Big Data

Support of Dynamic Schema in Spark Batch components

You can now use the Dynamic Schema in your Spark Jobs with the following components:

tDeltaLakeInput
tDeltaLakeOutput
tFileInputParquet
tFileOutputParquet
tJDBCInput
tJDBCOutput
tLogRow
tSqlRow

All subscription-based Talend products with Big Data

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