DataFlux Data Management Studio: Fast Track

 It introduces DataFlux Data Management Studio and expands your knowledge by discussing the following topics: data explorations and profiling, data jobs to perform data management tasks (such as data quality and entity resolution), data monitoring, usage of DataFlux Expression Engine language, custom metrics, macro variables, and process jobs.

The self-study e-learning includes:

• Annotatable course notes in PDF format.
• Virtual Lab time to practice.

• use data explorations
• create and review data profiles
• create data jobs for data improvement
• establish monitoring aspects for your data
• work with the DataFlux Expression Engine Language
• create and use custom metrics
• define and use macro variables
• create process jobs.

DataFlux Data Management Studio: Customizing the Quality Knowledge Base (QKB)

This course is designed for data quality stewards that need to learn more about the Quality Knowledge Base (QKB) and using the DataFlux Data Management Platform Customize application.

• understand the QKB components
• use the component editors
• understand various definition types
• create a new data type and definitions.

DataFlux Data Management Studio: Fast Track

• introduction
• course flow

• introduction to DataFlux Data Management Studio
• Quality Knowledge Base (QKB) and reference sources
• data connections

• creating data collections (self-study)
• 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 and multi-output data jobs
• using data job references within a data job
• introduction to the DataFlux Data Management server

• overview of remaining course topics
• clean data, new repositories, and default macro variables

• introduction to DataFlux Expression Engine Language (EEL)
• data profiling using EEL
• working with the expression node: IF/ELSE statements
• working with the expression node: RETURN statement
• working with the expression node: Pushrow function (self-study)
• working with the expression node: grouping functionality (self-study)

• working with custom metrics
• working with macro variables
• using multiple locales in a data job (self-study)

• introduction to process jobs
• using variables in process jobs
• conditional processing, work tables, and events
• parallel processing in process jobs (self-study)

• how data is processed in a data job
• job optimization
• tips for building and testing jobs
• deploying jobs
• promoting jobs to production

• case study for "Essentials"
• case study for "Advanced"

DataFlux Data Management Studio: Customizing the Quality Knowledge Base (QKB)

• introduction and course topics
• understanding the structure of the QKB

• investigating component files and editors
• investigating definition types
• investigating data types
• creating new data types

• introduction to parse definitions
• working with parse definitions
• creating a parse definition
• using the Parse Definition Quick Editor (PDQE) Investigating advanced topics for parse definitions

• introduction to case definitions
• working with case definitions
• creating a case definition

• introduction to standardization definitions
• working with standardization definitions
• creating a standardization definition

• introduction to match definitions
• working with match definitions
• creating a match definition
• investigating advanced topics for match definitions

• investigating and creating identification analysis definitions
• investigating gender analysis definitions
• Investigating pattern analysis definitions
• investigating and creating extraction definitions
• investigating language and locale guess definitions

• investigating best practices
• investigating export and import functions
• investigating the Difference Viewer and Merge tool