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Informatica Developer Tool for Big Data Developers

onDemand | Big Data | Self-Paced | Version 10

Informatica Developer Tool for Big Data Developers

Course Overview

This course is applicable to software version 10. Learn the mechanics of Data Integration using the Informatica Developer Tool for Big Data Development. This course takes you through the key components to develop, configure, and deploy data integration mappings. 

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After successfully completing this course, students should be able to:

  • Extract data from relation and flat file sources
  • Develop commonly used transformations for mappings
  • Automate metadata changes through dynamic mappings
  • Parameterize mappings 
  • Assemble mappings into workflows
  • Deploy mappings and workflows as applications

Target Audience

  • Developer


  • None


Module 1: Fundamentals

  • Introduction to the Developer Tool
  • Brief Overview of Big Data Management Architecture
  • Reviewing the Developer interface
  • Lab: Configuring the Informatica Developer Tool

Module 2: Physical Data Objects

  • Introduction to the types of physical data objects
  • Using relational connections
  • Using flat file connections
  • Synchronize a flat file data object
  • Lab: Working with Connections
  • Lab: Creating Physical Data Objects

Module 3: Viewing Data

  • Introduction to data views
  • Troubleshooting configurations
  • Reviewing logs
  • Monitoring activities
  • Lab: Viewing Data on a Physical Data Object

Module 4: Mappings and Transformations

  • Mapping and transformation concepts
  • Core transformations
  • Developing and validating a mapping
  • Using transformations in a mapping
  • Lab: Developing a Mapping
  • Lab: Working with a Router Transformation

Module 5: Dynamic Mappings

  • Introduction to dynamic mapping concepts
  • Developing and running a dynamic mapping
  • Reviewing a mapping template
  • Lab: Developing a Dynamic Mapping

Module 6: Deploying Applications 

  • Deploying Applications for Users
  • Create, deploy, and run an application
  • Lab: Deploying Applications

Module 7: Parameters

  • Using Parameters
  • Types of Parameters
  • Parameter file and Parameter set
  • Run mappings with parameter file and parameter set
  • Lab: Creating a Mapping with Parameter Set
  • Lab: Run a Mapping with Parameter Set
  • Lab: Using Parameters in a Dynamic Mapping

Module 8: Workflows

  • Working with Workflows
  • Create a workflow
  • Configure a workflow
  • Add a conditional sequence flow
  • Lab: Creating a Workflow

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onDemand | Big Data | Self-Paced | Version 10.2.0

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