Training Objectives by User
      Back to home
      1. Datagration Knowledge Base
      2. Customer Training
      3. Training Objectives by User

      Advanced Training

      This article details training objectives for Datagration Training: Advanced Training

      Advanced Training has 5 main areas.  

      • Introduction
      • Data Model 
      • Build
      • Predict 
      • Analyze

      Materials needed are computer and internet access.  The course can be delivered virtually or in-person.  

      Advanced Training will train the user to understand and remember key concepts about the Datagration Platform.  

      Introduction 

      The Datagration Platform

      Unified Data Model

      • Be able to understand Entity, Signal, Units of Measure, Source, Tag
      • Be able to apply the Unified Data Model to different data sets

      Applications

      Data Model

      Sources

      • Be able to locate Sources
      • Be able to understand Connection Types 
        • File Uploads / SharePoint
        • Static (Excel) vs Dynamic (SQL)
        • API Connections

      Connections

      • Be able to know the Sources Data Types

      Data Integration

      • Understand the Build Mappings features for entities and signals

      Entities

      • Be able to find entities and information relating to signals, tags, workflows, scripts
      • Ability to view entities in different hierarchies
      • Ability to create an entity

      Signals

      • Be able to gather different information about signals
      • Be able to create a signal

      Build

      Develop

      • Know where P# scripts are built
      • Understand how to use expression builder
      • Be able to run a P# Script
      • Be able to create Entity Sets, Scopes, Contexts

      Library 

      • Find Entity Sets
      • Be able to create Entity Sets, Scopes, Contexts

      Workflows

      • Understand how workflows are built
      • Know where to find workflow schedules

      Tables

      • View Tables
      • Create Tables
      • Understand when to use a table vs a workflow for a Power BI connection

      Logs

      • View logs

      Predict

      DCA

      • Understand how to view DCA curves
      • Add segments to DCA
      • Change Review Status
      • Change Settings
      • Download DCA Curves

      ML

      • Navigate ML

      • Understand inputs for running a model

      • Know the information usefulness of Pre-Training Statistics

      • Run an ML Model

      • Read Post-Training Statistics to understand the data

      • Be able to run data in the Playground

      • Modify existing model

      Scenarios

      • Be able to understand how Scenarios are used
      • Add a new Scenario

      Analyze

      Home

      • Be able to establish a home screen

      Dashboards

      • Look at different dashboards, refresh
      • Understand general Dashboard Functionality (Sorting)
      • Find the data source that populates each dashboard
      • Know how to edit a dashboard in the platform

      Data 

      • Use established Filters
      • Add a new Filter
      • Understand how to use Signals and Entities when using Filters
      • Visualize data using Table, Stats, Charts
      • Be able to export data


      Maps 

      • Be able to use established layers
      • Know how to use the filters for Entities, Color, Size, Height
      • Create an entity set from the map 
      • Understand the purpose of Voronois
      • Be able to use Data Grid
      • Be able to add a new Data Grid