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Course Outline
Data Quality Management
- Data Quality Problems
- Data Quality Services
- Data Quality Management Process
Working with Analyst
- Navigating through the Analyst Interface
- Connection & Projects
- Analyst Objects
- Mapping Specification
Profiling with Analyst
- Profiling
- Creating Profiling Rules
- Create & run Scorecards
- Lab #1: Import Flat Files and Connect to Tables
- Lab #2: Profiling, Mapping Specification, Rules and Collaboration
Reference Table
- Definition
- Create and manage Reference tables
- Lab #3: Reference Table Management
- Lab #4: Scorecarding
Data Domain Discovery (Advanced Data Profiling)
- What are Data Domains
- Data Domain Discovery
- Entity Discovery
- Enterprise Discovery in Analyst tool
- Lab #5: Data Domain and Enterprise Discovery
Rule Specification
- Definition
- Features
- Rule Logic
- Validate, Test & Generate Rules mapplets
- Lab #6: Rule Builder
Project Collaboration
- Add Tags & comments on fields
- Collaboration between Analyst and Developer
14 Hours
Testimonials (5)
Dużo cierpliwości
Mateusz - WestWind Energy Polska Sp. z o.o.
Course - ArcGIS for Spatial Analysis
The trainer adapted the materials and contents to what he thought would be best for us and he succeeded. The quality of the training was excellent.
Jorge Sanchez Hernandez - CSMART - Carnival
Course - QGIS for Geographic Information System
I genuinely enjoyed the lots of labs and practices.
Vivian Feng - Destination Canada
Course - Data Analysis with SQL, Python and Spotfire
Professional and very practical, usuefull in a daily work
Jozefin Rékasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
It covered the areas i said i was interested in before the course: data relationships, using python script. Connecting to databases will be covered in the advanced module.
