Designing the flow of the data to write and encrypt onto EMR - 7.3

Amazon EMR distribution
Version
7.3
Language
English
Product
Talend Big Data
Talend Big Data Platform
Talend Data Fabric
Talend Data Integration
Talend Data Management Platform
Talend Data Services Platform
Talend ESB
Talend MDM Platform
Talend Open Studio for Big Data
Talend Open Studio for Data Integration
Talend Open Studio for ESB
Talend Real-Time Big Data Platform
Module
Talend Studio
Content
Design and Development > Designing Jobs > Hadoop distributions > Amazon EMR
Link the components to construct the data flow.

Procedure

  1. In the Integration perspective of the Studio, create an empty Spark Batch Job from the Job Designs node in the Repository tree view.
  2. In the workspace, enter the name of the component to be used and select this component from the list that appears. In this scenario, the components are tHDFSConfiguration (labeled emr_hdfs), tS3Configuration, tFixedFlowInput, tAggregateRow and tFileOutputParquet.
    The tFixedFlowInput component is used to load the sample data into the data flow. In the real-world practice, use the input component specific to the data format or the source system to be used instead of tFixedFlowInput.
  3. Connect tFixedFlowInput, tAggregateRow and tFileOutputParquet using the Row > Main link.
  4. Leave the tHDFSConfiguration component and the tS3Configuration component alone without any connection.