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Course Outline
Module 1: Course Introduction
- Course Introduction, Agenda and Overview
Module 2: Developer Review & Join Profiling
- A quick review of Informatica Developer
- Use Enterprise Discovery to create Join Profiles
- Lab: Perform Join Profiling using an Enterprise Discovery Profile
Module 3: Standardizing and Classifying Data
- Review Standardization Techniques
- Build, refine and apply a Classifier Model
- Labs: Create, refine and apply Classifier Model
Module 4: Advanced Parsing Techniques
- What is Probabilistic Labeling and Parsing?
- Build, refine and apply a Probabilistic Model
- Additional Parsing Techniques:
- Build regular expressions
- Labs: Build, refine and apply a Probabilistic Model
- Lab: Review an example of Advanced Parsing
- Lab: Generate and test Regular Expressions
Module 5: Grouping & Matching Data
- Additional Grouping Techniques
- Using Composite keys
- Advanced Matching Techniques
- Matched pairs outputs
- Working with Match Mapplets
- Manipulating the matched data using the Driver ID
- Perform Dual Matching
- Lab: Create a Match mapping using Matched Pairs
- Lab: Create and update a Match Mapplet
- Lab: Manipulating Matched Data using the Driver ID
- Lab: Perform Dual Matching using a Master Dataset
Module 6: Automatically Associate and Consolidate Matched Data
- Overview of the Consolidation Process
- Use the Consolidation Transformation to consolidate matched data.
- Use the Association Transformation to link matched data ahead of Consolidation
- Lab: Automatically Consolidate matched data
- Lab: Perform multi-criteria Matching, Association and Consolidation.
Module 7: Task and Workflow Management
- Additional Task and Workflow functionality:
- Permission settings for data access and editing
- Notifications including Human Task Notification Variables
- Setting Timeouts
- Reviewing Tasks
- Configuring Workflow Recovery
- Lab: Update the Exception Workflow
- Lab: Review the Consolidation Workflow
Module 8: Processing Updated Exception and Cluster Data
- How to process updated exception records
- How to process consolidated records
- Fields of Interest
- Lab: Create a mapping to process updated exception data
- Lab: Create a mapping to process consolidated data
- Lab: Update and deploy Exception and Cluster Workflows
Module 9: Analyst Tasks
- Update exception and duplicate records in Informatica Analyst
- Lab: Update records and push the Tasks through the Exception Process
- Lab: Update records and push the Tasks through the Consolidation Process
Module 10: Parameterization
- Explain the difference between System and User defined parameters
- Use Parameters in Data Quality mappings.
- Lab: Create a parameterized mapping
- Lab: Build and deploy an Application
- Lab: Create and execute parameter files
Module 11: Performance tips and tricks
- General Installation and Memory Information
- DQ Component Configuration
- Service Settings
- DQ Transformations
- Configuration Settings
Module 12: Optional - Data Quality at work
- Learn how Data Quality has been implemented in different projects
Module 13: CRM and Dashboard and Reporting Templates
- Review the CRM and Dashboard and Reporting Templates that are available
- Lab: Review the CRM Template
Requirements
- Data Quality: Data Quality Management for Developers
21 Hours
Testimonials (3)
Who stopped to explain to us when someone was late and update us
Paul Bermúdez - CompuEduacion SA de CV
Course - Data Catalog Fundamentals
Machine Translated
The instructor was very simple and clear on the point of the course
Mohamed - Dubai Government Human Resources Department - DGHR
Course - Certified Data Management Professional (CDMP)
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
