Duration

2 days

Target audience

This course is designed for individuals responsible for implementing, administering, and managing data integration and data quality projects.

Prerequisites

Essential

  • Basic knowledge of data warehousing and ETL (Extraction, Transfer and Loading) concepts

Recommended

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

Goal

  • Participants will gain the knowledge to create efficient data quality projects as part of an overall data integration process
  • The knowledge you will acquire will help you to cleanse address and company data and match and cleanse data records

 

Content

  • Describing Data Quality Services
  • Using data quality transforms
  • Using address cleanse transforms
  • Using data cleanse transforms
  • Matching and consolidating data

 

 

 

Date and time

On demand

Location

Copenhagen

Price

Kr. 10.200