• There currently are no prerequisites for this course.

Who should attend?

• Data Quality Stewards

• create and review data explorations
• create and review data profiles
• create data jobs for data improvement
• establish monitoring aspects for your data.

Introduction to DataFlux Methodolgy and Course Flow

• overview Data Management Platform architecture
• introduce and explore DataFlux Data Management methodology
• review course flow, topics, and data

Getting Started with DataFlux Data Management Studio

• explore the basics of the DataFlux Data Management Studio interface
• create a DataFlux Data Management Studio repository
• discuss the Quality Knowledge Base (QKB) and reference sources
• work with data connections

Working Through the PLAN Phase of the DataFlux Methodology

• create data collections
• design data explorations
• create data profiles
• design standardization schemes

Working Through the ACT Phase of the DataFlux Methodology

• introduce data jobs
• work with data quality nodes including standardization, parsing, change case, identification analysis, and right-fielding
• work with data enrichment nodes including address verification (US/Canada) and geocoding (self-study)
• work with entity resolution nodes including match codes, clustering and surviving record identification

Working Through the MONITOR Phase of the DataFlux Methodology

• introduce business rules and the Business Rules Manager
• use business rules in data profiles
• establish and view data alerts
• work with data monitoring nodes including execute business rule and data monitoring

Exploring Additional Topics

• work with data jobs that contain multiple inputs and multiple outputs
• work with data job references within a data job
• introduce DataFlux Data Management Server
• work through a cumulative case study (self-study)

Software Addressed:

This course addresses DataFlux Data Management Server, DataFlux Data Management Studio software. This course addresses DataFlux Data Management Studio 2.5 and DataFlux Data Management Server 2.5.