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Data Quality Projects


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number


Overview/Description
For anyone who is creating a data warehouse, data quality should be one of the top priorities. In order to trust the results of data analysis, high-quality data is essential. This course discusses strategies for data quality projects.

Target Audience
Data warehouse developers and database administrators who create and manage business intelligence solutions as part of their daily tasks, which include implementing data warehouse databases, extracting and transforming data as part of an ETL solution, and data cleansing

Prerequisites
None

Expected Duration (hours)
0.8

Lesson Objectives

Data Quality Projects

  • start the course.
  • describe data quality knowledge base management
  • use the data quality client
  • create a data quality knowledge base domain
  • create a data quality project
  • improve data quality
  • describe identity mapping and deduplication
  • describe how to handle history and data quality
  • manage the domains and data in a knowledge base
  • Course Number:
    md_idwm_a19_it_enus