|
Feature |
Description |
Available in |
|---|---|---|
| Support for Spark Universal 3.4.x in Local mode | You can now run your Spark Batch and Spark Streaming Jobs using Spark
Universal with Spark 3.4.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.
|
ⓘ Available in: Big Data Big Data Platform Cloud Big Data Cloud Big Data Platform Cloud Data Fabric Data Fabric Real-Time Big Data Platform All subscription-based Talend products with Big Data |
| Support for custom settings on AWS EMR Serverless with Spark Universal 3.2.x and 3.3.x in Spark Batch Jobs | You now have the possibility to custom the settings of your Spark Batch
Jobs on AWS EMR Serverless with Spark Universal 3.2.x and 3.3.x. You can
configure it in the Spark Configuration view of your
Spark Batch Jobs by selecting the Custom settings check
box. This new parameter allows you to control all the settings including pre-initialized capacity, or network connection for example. 
|
ⓘ Available in: Big Data Big Data Platform Cloud Big Data Cloud Big Data Platform Cloud Data Fabric Data Fabric Real-Time Big Data Platform All subscription-based Talend products with Big Data |
| Support for Dataproc 2.1 onwards with Spark Universal 3.3.x in Spark Batch Jobs | You can now run your Spark Batch Jobs on Dataproc with Spark Universal
3.3.x. You can configure it in the Spark Configuration
view of your Spark Batch Jobs. When you select this mode, Talend Studio is compatible with Dataproc 2.1 onwards versions. 
|
ⓘ Available in: Big Data Big Data Platform Cloud Big Data Cloud Big Data Platform Cloud Data Fabric Data Fabric Real-Time Big Data Platform All subscription-based Talend products with Big Data |
| Support for Dataproc 2.1 onwards with Spark Universal 3.3.x in Standard Jobs | Standard Jobs with Hive components now support Dataproc 2.1 onwards with
Spark Universal 3.3.x.
|
ⓘ Available in: Big Data Big Data Platform Cloud Big Data Cloud Big Data Platform Cloud Data Fabric Data Fabric Real-Time Big Data Platform All subscription-based Talend products with Big Data |
| Support for Spark-submit scripts with Universal 3.3.x in Spark Batch Jobs | The Spark-submit scripts mode allows you to leverage
a HPE Ezmeral Data Fabric v9.1.x cluster to run your Spark Batch Jobs.
You can also use this mode with other clusters than HPE Data Fabric. This is because a Spark-submit script is designed to work with all of Spark’s supported cluster managers, as documented in cluster managers from the Spark documentation. |
ⓘ Available in: Big Data Big Data Platform Cloud Big Data Cloud Big Data Platform Cloud Data Fabric Data Fabric Real-Time Big Data Platform All subscription-based Talend products with Big Data |