Big Data - Cloud - 8.0

Talend Release Notes

Version
Cloud
8.0
Language
English
Product
Talend Big Data
Talend Big Data Platform
Talend Cloud API Services Platform
Talend Cloud Big Data
Talend Cloud Big Data Platform
Talend Cloud Data Fabric
Talend Cloud Data Integration
Talend Cloud Data Management Platform
Talend Data Fabric
Talend Data Integration
Talend Data Management Platform
Talend Data Services Platform
Talend ESB
Talend MDM Platform
Talend Real-Time Big Data Platform
Module
Talend Cloud API Designer
Talend Cloud API Tester
Talend Cloud Data Inventory
Talend Cloud Data Preparation
Talend Cloud Data Stewardship
Talend Cloud Management Console
Talend Cloud Pipeline Designer
Talend Data Preparation
Talend Data Stewardship
Talend Studio
Content
Installation and Upgrade
Release Notes
Last publication date
2023-12-01

Feature

Description

Available in

New tHBaseTable component to create or delete HBase tables in Standard Jobs A new component, tHBaseTable, is available in Talend Studio in your Standard Jobs.

This component allows you to create or delete HBase tables.

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 namespace in HBase components in Standard Jobs You can now specify a namespace for your HBase tables in the following components in your Standard Jobs:
  • tHBaseDeleteRow
  • tHBaseInput
  • tHBaseOutput

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 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