Understanding Data Quality and Reference Data Management
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. ▼
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Course Feature
Cost:
Free
Provider:
Udemy
Certificate:
No Information
Language:
English
Start Date:
2015-10-14
Course Overview
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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.
Course Syllabus
Reference Data Management
Data Quality Management
Course Provider
Provider Udemy's Stats at AZClass
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