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Data Quality Steward Certification

30 Hours
Online Instructor-led Training
USD 1399 (GBP 2000)
Save 50% Offer ends on 31-Dec-2023
Data Quality Steward Certification course and certification
318 Learners

About this Course

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.


Learn how to
  • 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.

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

Target Audience

Data Quality Stewards

Data Quality Steward Certification

Course Details & Curriculum

DataFlux Data Management Studio: Fast Track

Introduction and Course Flow
  • introduction
  • course flow
DataFlux Data Management Studio: Getting Started
  • introduction to DataFlux Data Management Studio
  • Quality Knowledge Base (QKB) and reference sources
  • data connections
Working through the PLAN Phase of the DataFlux Methodology
  • creating data collections (self-study)
  • designing data explorations
  • creating data profiles
  • designing data standardization schemes
Working through the ACT Phase of the DataFlux Methodology
  • introduction to data jobs
  • data quality jobs
  • data enrichment jobs (self-study)
  • entity resolution jobs
Working through the MONITOR Phase of the DataFlux Methodology
  • defining business rules
  • data profiling with business rules and alerts
  • data jobs with business rules
  • data jobs with monitoring tasks
Additional Topics (Self-Study)
  • 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
DataFlux Expression Engine Language
  • 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)
Custom Metrics, Macros, and More
  • working with custom metrics
  • working with macro variables
  • using multiple locales in a data job (self-study)
Process Jobs
  • introduction to process jobs
  • using variables in process jobs
  • conditional processing, work tables, and events
  • parallel processing in process jobs (self-study)
Tips, Tricks, and Other Topics
  • how data is processed in a data job
  • job optimization
  • tips for building and testing jobs
  • deploying jobs
  • promoting jobs to production
Case Studies
  • case study for "Essentials"
  • case study for "Advanced"

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

SAS Quality Knowledge Base and Customization
  • introduction and course topics
  • understanding the structure of the QKB
Component Files, Definitions, and Data Types
  • investigating component files and editors
  • investigating definition types
  • investigating data types
  • creating new data types
Parse Definitions
  • 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
Case Definitions
  • introduction to case definitions
  • working with case definitions
  • creating a case definition
Standardization Definitions
  • introduction to standardization definitions
  • working with standardization definitions
  • creating a standardization definition
Match Definitions
  • introduction to match definitions
  • working with match definitions
  • creating a match definition
  • investigating advanced topics for match definitions
Other 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
Tips, Tricks, and Advanced Topics
  • investigating best practices
  • investigating export and import functions
  • investigating the Difference Viewer and Merge tool

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