Informatica B2B Data Transformation 

Class schedule with High flexibility for Corporates/ Working professionals/Weekend classes 

Course duration: 32 Hours 

Objectives:

• Discuss the key concepts of the B2B Data Transformation
• Utilize parsing techniques
• Move information from an XML structure to an output format
• Perform XML to XML transformation with Mappers
• Discuss various preprocessors and their uses
• Describe locators, keys, and indexing and their uses
• Explain concepts such of Logic implementation via conditions and
• Specification-driven transformation
• List the Streamers to process large documents and validators
• View the notification process and failure handling techniques
• Discuss the purpose of Libraries
• Explore the usage of Data Transformation services in B2B Data Exchange and the usage of prebuilt libraries in Data Transformation
• Discuss PowerCenter integration via the Data Processor transformation

Module 1: Data Transformation Overview

• Data Transformation
• Universal Data Transformation
• DT Studio
• Additional components
• Architecture overview
• Deployment and Services
• Developer/Data Processor components and perspectives
• Design workflow
• Wizard walk-through

Module 2: XML and XSD Basics

• Overview of both XML and XSD
• Schema creation
• Compare the XSD and Data Transformation syntax
• IntelliScript

Module 3: Parsers

• Parsers overview
• Parser properties
• Parser format
• Parser use cases
• Basic anchors in Data Transformation
• Types of Anchors
• Anchor properties
• Markers and its properties
• Lab: Basic Parsing

Module 4: Anchors and Marking

• Scope of Anchors
• Phase of Anchors
• Marking and Marking options
• Lab: Phase and Marking

Module 5: Group and RepeatingGroup

• Group overview
• Group properties
• RepeatingGroup functionality
• RepeatingGroup properties
• Lab: Group and RepeatingGroup

Module 6: Matching

• Regular expressions
• Regex special characters
• Character classes
• Line/Word anchors
• Conditions
• Pattern search in DT
• Variables

Module 7: Actions and Transformers

• Types of Actions
• Default and commonly used Transformers
• Differences between Actions and transformers
• Commonly used actions
• Data manipulation functions
• Conditional processing
• Alternatives
• Groups and EnsureCondition
• Alternatives and EnsureCondition
• Lab: Transformers, Actions, and Conditions

Module 8: Mapper

• Mapper overview
• Mapper properties
• Mapper actions and anchors
• Map overview
• SetValue overview
• Lab: Simple mapper

Module 9: GroupMapping and Locators

• GouprMapping overview
• GroupMapping properties
• Group Locators – By Occurrence, By Key
• GroupMapping Use cases
• Lab: GroupMapping and Locators

Module 10: RepeatingGroup and Alternative Mappings

• RepeatingGroupMapping overview
• RepeatingGroupMapping properties
• Locators in RepeatingGroupMapping
• RepeatingGroupMapping use cases
• AlternativeMappings overview
• AlternativeMappings properties
• AlternativeMappings use cases
• CalculateValue and EnsureCondition
• Lab: RepeatingGroup and Alternative Mappings