Cuesys Infotech :: Consulting | Corporate Training

By attending DataFlux Data Management Studio - Essentials workshop, delegates will learn to:

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

The DataFlux Data Management Studio – Essentials training course is for data quality stewards who perform data management tasks, such as data quality improvements, data enrichment and entity resolution.

For Advanced Module, delegates should attend DataFlux Data Management Studio: Essentials course or have equivalent knowledge.

Data Quality Stewards

COURSE AGENDA

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

Introduction to DataFlux Methodolgy

overview Data Management Platform architecture
introduce and explore DataFlux Data Management methodology

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