Curriculum
- 1 Section
- 19 Lessons
- 4 Days
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- Topics19
- 1.11. Data Quality Overview 2. Developer Tool: Physical & Logical Data Objects Overview Create a Physical Data Object Relational Customized Flat File Create a Logical Data Object Exercise #1 Creating Connections & Import Data source
- 1.23. Data Profiling with Developer Profiling Creating Profiling Rules Creating and running scorecards Exercise #2 Column Profiling in Developer
- 1.34. Developing Data Quality Projects Overview Objects
- 1.45. Working with Mappings Mappings Sources Targets Linking and Running
- 1.56. Working with Transformations Transformations Ports Expressions Testing
- 1.67. Data Integration Transformations Part 1: Expression Filter Aggregator Sorter
- 1.78. Data Integration Transformations Part 2: Joiner Lookup Router Union
- 1.89. Working with Mapplets & Rules: Overview Creating Mapplet Rules
- 1.910. Using Reference Data: Overview User Reference Table Content sets
- 1.1011. Data Standardization: Cleanse and standardize the data set using Standardization transformation: Case Converter, Merger, Labeler, Standardizer Exercise #3 Data Standardization
- 1.1112. Data Parsing: Parser the data set using one of the following methods: Token Parser, tern ParserNER/Probabilistic Model ? Dec, ision Exercise #4 Parsing using Pattern Based Parsing
- 1.1213. Address Validation Overview Reference Data Work with Address Validation mappings
- 1.1314. Data Matching Introducing Matching Concepts Data Grouping Matching Analysis Matching Transformation Exercise #5 Apply Matching Techniques – Classic Matching
- 1.1415. Identity Match Option IMO vs Classic Matching Overview IMO configuration Exercise #6 Apply Matching Techniques – Identity Matching
- 1.1516. Automatic Consolidation Consolidation transformation Automatically consolidate matched records Exercise #7 Multi Criteria Matching, Association and Consolidation
- 1.1617. Working with Workflows: Build a workflow that handle Exception and duplicate records. Human Task Other Tasks Deployment Exercise #8 Informatica Data Quality Workflow Using Human Task
- 1.1718. Analyst for the Exception records: Update and modify the exception/duplicate records through the Analyst tool.
- 1.1819. Other Transformations: Comparison Weighted Average
- 1.1920. Power Center Integration: Exporting to PC Importing from PC
3. Data Profiling with Developer Profiling Creating Profiling Rules Creating and running scorecards Exercise #2 Column Profiling in Developer
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