Course Duration
28 hrs
Mode Of Training
Live Web
100% Placement Assistance
SAS Certified Trainer
Course hours 28 hrs
Training Mode Live Web
100% Job Assistance
SAS Certified Trainer
Earn Digital Badges
Tutorials
Digital Badge
Classes
Certification
Tutorials
DataFlux Data Management Studio: Essentials and DataFlux Data Management Studio: Advanced. 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.
Use data explorations
Create and review data profiles
Create data jobs for data improvements
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.
Currently, there are no prerequisites for this course.
This course addresses DataFlux Data Management Studio, DataFlux Data Management Server software.
DataFlux Data Management Studio: Getting Started
Working through the PLAN Phase of the DataFlux Methodology
Working through the ACT Phase of the DataFlux Methodology
Working through the MONITOR Phase of the DataFlux Methodology
Staging
DataFlux Expression Engine Language
Custom Metrics, Macros, and More
Process Jobs
Tips, Tricks, and Other Topics
Case Studies
Training & Digital Badge.
Course material.
2 attempts of Global certification.
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Academic Software
E-Learning
Certification & Badging
Discounts
Career resources
▪ introduction to DataFlux Data Management Platform architecture course flow
▪ introduction DataFlux Data Management Studio interface
▪ introduction to data connections
▪ creating data collections
▪ designing data explorations
▪ creating data profiles
▪ designing data standardization schemes
▪ introduction to data jobs
▪ work with data quality jobs including Standardization, Identification Analysis, Right-Fielding,Parsing, and Casing
▪ work with entity resolution jobs that use the Match Codes, Clustering, and Surviving Record Identification nodes
▪ introduce business rules and Business Rules Manager
▪ use business rules and alerts in data profiling
▪ use business rules in a data job
▪ create data jobs with monitoring tasks
▪ introduction to DataFlux Expression Engine Language
▪ data profiling using EEL
▪ working with the expression node: IF/ELSE statements
▪ working with the expression node: RETURN statement
▪ defining and working with custom metrics
▪ defining and working with macro variables
▪ introduction to process jobs
▪ using variables in process jobs
▪ working with conditional processing, work tables, and events
▪ discover how data is processed in a data job
▪ discuss job optimization
▪ discuss tips for building and testing jobs
▪ discuss topics for promoting to production
▪ This course addresses DataFlux Data Management Server
▪ DataFlux Data Management Studio 2.4 software.
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