Talend Studio features - 8.0

Talend Data Integration Studio User Guide

Version
8.0
Language
English (United States)
EnrichDitaval
Data Integration
Product
Talend Data Integration
Module
Talend Studio
Content
Design and Development
This section provides a list of core features that are installed by default and a list of optional features that need to be installed using the Feature Manager.

Core features installed by default

Feature Description
Data Integration Job editor The Data Integration Job editor is the workspace where you can design your Jobs.
Data Integration components A component is a functional element that performs a single data integration operation in a Job. Only some basic Data Integration components are installed by default.
Contexts This feature allows you to manage Jobs differently for various execution types, for example, testing and production environment.
Routines A routine is a Java class with many functions. It is generally used to factorize code.
SQL templates Talend Studio provides a range of SQL templates to simplify the most common data query and update, schema creation and modification, and data access control tasks. It also comprises a SQL editor which allows you to customize or design your own SQL templates to meet less common requirements.
Metadata for database, file, generic schema, etc. The metadata wizard allows you to store reusable information on databases, files, and/or systems in the Repository tree view. The information can be reused later to set the connection parameters of the relevant input or output components and the data schema in a centralized manner.
Git support This feature allows you to work on remote projects stored in Git repositories.
Remote execution This feature allows you to deploy and execute your Jobs on a remote JobServer when you work on either a local project or on a remote one on the condition that you are connected with Talend Administration Center.
Talend Administration Center connection This feature allows you to set up a connection to Talend Administration Center.

Optional features installed using Feature Manager

Category Feature Description
Shared features Audit Talend Project Audit transforms project data flows to valuable business information. It introduces an auditing approach for evaluating various aspects of Jobs implemented in your Talend Studio.
Shared features Data Lineage This feature provides advanced capabilities for analyzing any given item, such as a Job, in the Repository tree view.
  • Impact Analysis: discovers descendant items up to the target component.
  • Data Lineage: discovers the ancestor items starting with the source component.
Shared features Jobscripts In addition to the graphical Job design interface, a Job script is another way to create a data integration process with Talend Studio.
Shared features Job Templates This feature allows you to use the different templates to create ready-to-run Jobs.
Shared features Metadata Bridge Talend Metadata Bridge accelerates the implementation, maintenance and continuous improvement of integration scenarios by allowing the synchronization, the sharing and the conversion of metadata across the different components.
Shared features Metadata Import from CSV This feature allows you to import metadata from a CSV file on an external application.
Shared features Publish to artifact repository This feature allows you to publish your Job, Route or Service into an artifact repository.
Shared features Resources This feature allows you to create resources and use them in your Jobs for file handling. This way, when exporting your Jobs, for example, you can pack the resource files as Job dependencies and deploy your Jobs without having to copy the files to the target system.
Shared features Talend Activity Monitoring Console Talend Activity Monitoring Console is an add-on tool integrated in Talend Studio for monitoring Talend Jobs and projects.
Shared features Test Cases This feature allows you to create test cases to test your Jobs and Services during Continuous Integration development to make sure they will function as expected when they are actually executed to handle large datasets.
Shared features Validation Rules A validation rule is a basic or integrity rule that you can apply to metadata items to check the validity of your data. It can be basic check for correct values or referential integrity check, both applicable to database tables or individual columns, file metadata or any relevant metadata item.
Data Integration > Components Amazon DocumentDB This feature installs Amazon DocumentDB components, including tAmazonDocumentDBConnection, tAmazonDocumentDBInput, tAmazonDocumentDBOutput, and tAmazonDocumentDBClose.
Data Integration > Components Azure Cosmos DB SQL API This feature installs Azure Cosmos DB SQL API components, including tCosmosDBSQLAPIInput and tCosmosDBSQLAPIOutput.
Data Integration > Components Azure Data Lake Storage Gen2 This feature installs Azure ADLS Gen2 components, including tAzureADLSGen2Input and tAzureADLSGen2Output.
Data Integration > Components Azure Storage This feature installs Azure storage components, including tAzureStorageQueueCreate, tAzureStorageQueueDelete, tAzureStorageQueueInput, tAzureStorageQueueInputLoop, tAzureStorageQueueList, tAzureStorageQueueOPutput, tAzureStorageQueuePurge, tAzureStorageConnection, tAzureStorageContainerCreate, tAzureStorageContainerDelete, tAzureStorageContainerList, tAzureStorageDelete, tAzureStorageGet, tAzureStorageList, tAzureStoragePut, tAzureStorageInputTable, tAzureStorageOutputTable
Data Integration > Components BRMS / Rules This feature installs BRMS/rules components, including tBRMS and tRules.
Data Integration > Components Couchbase This feature installs Couchbase components, including tCouchbaseDCInput, tCouchbaseDCOutput, tCouchbaseInput, tCouchbaseOutput.
Data Integration > Components CyberArk This feature installs CyberArk components, including tCyberarkInput.
Data Integration > Components ESBConsumer This feature installs the tESBConsumer component.
Data Integration > Components Google Drive This feature installs Google drive components, including tGoogleDriveConnection, tGoogleDriveCopy, tGoogleDriveCreate, tGoogleDriveDelete, tGoogleDriveGet, tGoogleDriveList, tGoogleDrivePut.
Data Integration > Components Jira This feature installs Jira components, including tJIRAInput and tJIRAOutput.
Data Integration > Components Marketo This feature installs Marketo components, including tMarketoBulkExec, tMarketoCampain, tMarketoConnection, tMarketoInput, tMarketoListOperation, tMarketoOutput.
Data Integration > Components Neo4j This feature installs Neo4j components, including tNeo4JClose, tNeo4JConnection, tNeo4JInput, tNeo4JOutput, tNeo4JRow, tNeo4JBatchOutput, tNeo4JBatchOutputRelationship, and tNeo4JBatchSchema.
Data Integration > Components NetSuite This feature installs NetSuite components, including tNetsuiteConnection, tNetsuiteInput, tNetsuiteOutput.
Data Integration > Components RabbitMQ This feature installs RabbitMQ components, including tRabbitMQInput, tRabbitMQOutput, tRabbitMQClose, tRabbitMQConnection.
Data Integration > Components RESTClient This feature installs the tRESTClient component.
Data Integration > Components Salesforce This feature installs Salesforce components, including tSalesforceBulkExec, tSalesforceConnection, tSalesforceEinsteinBulkExec, tSalesforceEinsteinOutputBulkExec, tSalesforceGetDeleted, tSalesforceGetServerTimestamp, tSalesforceGetUpdated, tSalesforceInput, tSalesforceOutput, tSalesforceOutputBulk, tSalesforceOutputBulkExec.
Data Integration > Components Snowflake This feature installs Snowflake components, including tSnowflakeBulkExec, tSnowflakeClose, tSnowflakeCommit, tSnowflakeConnection, tSnowflakeInput, tSnowflakeOutput, tSnowflakeOutputBulk, tSnowflakeOutputBulkExec, tSnowflakeRollback, tSnowflakeRow.
Data Integration > Components Splunk This feature installs Splunk components, including tSplunkEventCollector.
Data Integration > Components Talend Data Preparation

The Talend Data Preparation components apply preparations, create datasets in Talend Data Preparation or create flows with data from Talend Data Preparation datasets.

Data Integration > Components Talend Data Stewardship

The Talend Data Stewardship components load data into Talend Data Stewardship campaigns and retrieve or delete data in the form of tasks in Talend Data Stewardshipcampaigns.

Data Integration > Components Workday This feature installs Workday components, including tWorkdayInput.
Data Integration > Components Zendesk This feature installs Zendesk components, including tZendeskInput and tZendeskOutput.
Data Integration > Metadata Advanced WSDL This feature helps you define an Advanced WebService schema and store it in the Repository tree view.
Data Integration > Metadata CDC This feature helps you set up a CDC environment on a dedicated database connection, which can quickly identify and capture data that has been added to, updated in, or removed from database tables and make this change data available for future use by applications or individuals. It is available for Oracle, MySQL, DB2, PostgreSQL, Sybase, MS SQL Server, Informix, Ingres, Teradata, and AS/400.
Data Integration > Metadata EDIFACT The EDIFACT metadata wizard helps you create a schema to be used for the tExtractEDIField component to read and extract data from UN/EDIFACT message files.
Data Integration > Metadata SAP The SAP metadata wizard helps you create a connection to an SAP BW system and an SAP HANA database and store this connection in the Repository tree view.
Data Integration > Metadata Talend MDM Talend MDM metadata wizard helps you centralize the details of one or more MDM connections in the Repository tree view.
Big Data > Distributions Amazon EMR 5.29.0 This feature enables you to run your Spark Jobs on the Amazon EMR 5.29.0 distribution.
Big Data > Distributions Amazon EMR 6.2.0 This feature enables you to run your Spark Jobs on the Amazon EMR 6.2.0 distribution.
Big Data > Distributions Azure Synapse This feature enables you to run your Spark Jobs on Azure Synapse Analytics with Apache Spark pools as a distribution.
Big Data > Distributions Cloudera CDH Dynamic Distribution This feature enables you to run your Spark Jobs on Cloudera CDH using either Static (CDH 6.1, CDH 6.2 and CDH 6.3) or Dynamic distributions.
Big Data > Distributions Cloudera Data Platform Dynamic Distribution This feature enables you to run your Spark Jobs on Cloudera Data Platform using either Static (CDP 7.1) or Dynamic distributions.
Big Data > Distributions Databricks 5.5 This feature enables you to run your Spark Jobs on the Databricks 5.5 distribution.
Big Data > Distributions Databricks 6.4 This feature enables you to run your Spark Jobs on the Databricks 6.4 distribution.
Big Data > Distributions Databricks 7.3 LTS This feature enables you to run your Spark Jobs on the Databricks 7.3 LTS distribution.
Big Data > Distributions Hortonworks HDP Dynamic Distribution This feature enables you to run your Spark Jobs on Hortonworks HDP using either Static or Dynamic distributions.
Big Data > Distributions Microsoft Azure HDInsight 4.0 This feature enables you to run your Spark Jobs on the Microsoft Azure HDInsight 4.0 distribution.
Big Data > Universal Distribution (Recommended) Universal Distribution (Spark 2.4.x) This feature enables you to run your Spark Jobs on Universal distribution with Spark 2.4.x.
Big Data > Universal Distribution (Recommended) Universal Distribution (Spark 3.0.x) This feature enables you to run your Spark Jobs on Universal distribution with Spark 3.0.x.
Big Data > Universal Distribution (Recommended) Universal Distribution (Spark 3.1.x) This feature enables you to run your Spark Jobs on Universal distribution with Spark 3.1.x on Kubernetes.