This course is for data quality stewards who perform data management tasks, such as data quality improvements, entity resolution, and data monitoring.

• create and review data explorations
• create and review data profiles
• create data jobs for data improvement
• establish monitoring aspects for your data
• understand the QKB components
• use the component editors
• understand various definition types
• build a new data type (optional).

Kinek ajánljuk

Elérhető képzési formák	Időtartam
Tantermi:	4.0 nap

There currently are no prerequisites for this course.

A tanfolyam DataFlux Data Management Studio, DataFlux Data Management Server szoftver használatára épül.

This course addresses DataFlux Data Management Studio 2.6 and DataFlux Data Management Server 2.6.

• introduction
• course flow

• introduction
• Quality Knowledge Base (QKB) and reference sources
• data connections

• creating data collections
• designing data explorations
• creating data profiles
• designing data standardization schemes

• introduction to data jobs
• data quality jobs
• data enrichment jobs (self-study)
• entity resolution jobs

• defining business rules
• data profiling with business rules and alerts
• data jobs with business rules
• data jobs with monitoring tasks

• multi-input/multi-output data jobs
• using data job references within a data job
• introduction to the DataFlux Data Management Server
• case study (self-study)