Dataflux data management studio syllabus ,training ,Individual ,class room ,Corporate training

1. Day 1 Data Quality Overview
Day 2 Data Management Introduction
Explore the DataFlux Data ManagementMethodology
Data Management Studio – Getting Started
Provide an overview ofthe components ofthe DataFlux Data ManagementPlatform
Define key components and terms ofDataFlux Data ManagementStudio
Define a DataFlux Data ManagementStudio repository
Define a Quality Knowledge Base (QKB)
Define reference sources
Explore data connections
Day 3
Introduction to Process Jobs
What is a Process Job?
Run a Process Job and Review Log
Macro Variables
What are Macro Variables?
Macro Variables in Data Profiles
Macro Variables in Data Jobs
Macro Variables in Process Jobs
Macro Variables in Data Monitoring
Supplying Macro Variable Values atRuntime
Day 4 ACT
Discuss and explore the basic DataFlux Data ManagementStudio options for data jobs
Data Input and Data Output nodes – notall are covered in the training. The candidate needs to explore a few of them by himself
Day 5
DataFlux® Expression Engine Language (EEL)
Introduction to DataFlux Expression Engine Language (EEL)
Data Profiling and using Expression Engine Language
Introduction to the Expression Node

2. Working with the Expression Node:IF/ELSE Statements
Working with the Expression Node:Return Statement
Working with the Expression Node:Grouping Function
Day 6
SQL Nodes
Parallel Processing
Using Data Job References within a Data Job
Day 7 Defining the match process
Day 8 Defining the match process
Day 9 Looking atthe other nodes – Utilities Data Profiling nodes Quality nodes and Q&A
Day 10 Looking atthe other nodes – Utilities Data Profiling nodes Quality nodes and Q&A
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