# 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<br>Spark 3.0.x, either in Local or Yarn<br>cluster mode.<br><br>Spark Universal is a mechanism that allows Talend Studio to be compatible with every big data distribution available for a given<br>Spark version, using only a Hadoop configuration JAR file that contains all the<br>necessary information to establish a connection to the cluster in<br>Yarn cluster.<br><br>Spark Universal gives you more<br>agility by enabling a switch between the different Spark modes, distributions,<br>or environments.<br><br>You can configure your Spark Universal connection either<br>in the Spark configuration view of your Job or in the<br>Hadoop Cluster Connection metadata wizard from the<br>Repository tree view:<br>![](https://help.qlik.com/talend/en-US/archive-release-notes/Resources/images/spark-universal-hadoop.png) | <ul>Available in:<li>Big Data</li><li>Big Data Platform</li><li>Cloud Big Data</li><li>Cloud Big Data Platform</li><li>Cloud Data Fabric</li><li>Data Fabric</li><li>Qlik Cloud Enterprise Edition</li><li>Qlik Talend Cloud Enterprise Edition</li><li>Qlik Talend Cloud Premium Edition</li><li>Real-Time Big Data Platform</li></ul><br><br>All<br>subscription-based Talend products<br>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<br>Kubernetes mode.<br><br>You can configure your Spark<br>Universal connection with Kubernetes either in the Spark<br>configuration view of your Job or in the Hadoop<br>Cluster Connection metadata wizard from the<br>Repository tree view:<br>![](https://help.qlik.com/talend/en-US/archive-release-notes/Resources/images/kubernetes-spark-universal.png) | <ul>Available in:<li>Big Data</li><li>Big Data Platform</li><li>Cloud Big Data</li><li>Cloud Big Data Platform</li><li>Cloud Data Fabric</li><li>Data Fabric</li><li>Qlik Cloud Enterprise Edition</li><li>Qlik Talend Cloud Enterprise Edition</li><li>Qlik Talend Cloud Premium Edition</li><li>Real-Time Big Data Platform</li></ul><br><br>All<br>subscription-based Talend products<br>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<br>components:<br><br><ul> <li>tDeltaLakeInput</li> <li>tDeltaLakeOutput</li> <li>tFileInputParquet</li> <li>tFileOutputParquet</li> <li>tJDBCInput</li> <li>tJDBCOutput</li> <li>tLogRow</li> <li>tSqlRow</li> </ul><br><br>![](https://help.qlik.com/talend/en-US/archive-release-notes/Resources/images/deltalake-input-dynamic-schema.png) | <ul>Available in:<li>Big Data</li><li>Big Data Platform</li><li>Cloud Big Data</li><li>Cloud Big Data Platform</li><li>Cloud Data Fabric</li><li>Data Fabric</li><li>Qlik Cloud Enterprise Edition</li><li>Qlik Talend Cloud Enterprise Edition</li><li>Qlik Talend Cloud Premium Edition</li><li>Real-Time Big Data Platform</li></ul><br><br>All<br>subscription-based Talend products<br>with Big Data |