Duration

3 days

Audience

  • Project team members with basic knowledge of Data Warehousing and data integration concepts
  • Data Warehousing consultants and project managers who work with data integration

Prerequisites

Essential

  • Thorough knowledge of ETL (Extraction, Transformation and Loading) data processes
  • Thorough knowledge of defining source and target metadata in Data Services Designer
  • Thorough knowledge of creating batch jobs
  • Thorough knowledge of using functions, scripts, and variables
  • Thorough knowledge of using Data Integrator Platform transforms

Recommended

  • Basic knowledge of SQL language
  • Basic knowledge of elementary procedural programming

Goal

  • Participants will gain the knowledge to participate in implemeting, adminstering, and managing data integration projects
  • The knowledge you will acquire will form the basis for more advanced training in Data Quality Services

 

Content

  • Describing Data Services
  • Examing data acquisition and process chains
  • Creating batch jobs for data integration
  • Troubleshooting batch jobs
  • Using functions, scripts and variables
  • Using Platform Transforms
  • Setting up error handling
  • Capturing change in data
  • Using the data integrator platform transforms

Date and time

On demand

Location

Copenhagen

Price

Kr. 15.300