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Understanding Data Quality and Reference Data Management

Learners: 17,897

Instructor: Adastra Academy

Duration:

This course provides a comprehensive overview of two important data related issues: Reference Data Management and Data Quality Management. It covers key principles and processes for effective reference data management, as well as key concepts and terminologies related to data quality management. Learners will gain insights into key data quality activities such as parsing, validation, standardization, cleansing, enrichment, scoring, measurement, and exception management. With this course, learners will gain a better understanding of data management and data quality management, and be able to apply the knowledge to their own data management projects.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Free

Provider:

Udemy

Certificate:

No Information

Language:

English

Start Date:

2015-10-14

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides an overview of two important data related topics: Reference Data Management and Data Quality Management. Learners will gain an understanding of key principles and processes for effective reference data management, as well as key concepts and terminologies related to data quality management. Topics covered include parsing, validation, standardization, cleansing, enrichment, scoring, measurement, and exception management. Upon completion of this course, learners will have a better understanding of data management and data quality management.