Data Quality Projects

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

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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

Expertise Level
Intermediate