File formats supported by Talend Data Preparation

Talend Data Preparation User Guide

author
Talend Documentation Team
EnrichVersion
6.4
2.1
EnrichProdName
Talend MDM Platform
Talend Real-Time Big Data Platform
Talend Data Services Platform
Talend Big Data
Talend Data Management Platform
Talend Data Fabric
Talend ESB
Talend Data Integration
Talend Big Data Platform
task
Data Quality and Preparation > Cleansing data
EnrichPlatform
Talend Data Preparation
In Talend Data Preparation, you can import different types of file to use as source data for your datasets.

From local files

You can import the following file types to use as datasets:

  • .xls or .xlsx
  • .csv

For more information, see Adding a dataset from a local file.

From a Talend Job

In addition to the previous file types, you have the possibility to use datasets created directly from a Talend Job in Talend Studio if you are a subscription user.

You can do that by using the tDatasetOutput component as output for your Job in Talend Studio.

Then you can either:

From a database

Talend Data Preparation is able to connect to various databases and use them as source to create a new dataset. The data is still stored in your database, and only a sample is retrieved on-demand.

For more information, see Adding a dataset from a database.

From HDFS

You can access data that is stored on a Hadoop file system (HDFS), and import it in the form of a dataset, directly in the Talend Data Preparation interface. You can then export the prepared data back to the cluster, or export it as a local file.

For more information, see Adding a dataset from HDFS.

From Salesforce

You can access data that is stored on Salesforce, and import it in the form of a dataset, directly in the Talend Data Preparation interface. You can then export the data as a local file.

For more information, see Adding a dataset from Salesforce.

From Amazon S3

You can access data that is stored on Amazon S3, and import it in the form of a dataset, directly in the Talend Data Preparation interface. You can then export the data as a local file, export it on a Hadoop cluster, or export it back directly to Amazon S3.

For more information, see Adding a dataset from Amazon S3.