Understanding Data Quality and Reference Data Management

Course Feature

Cost

Free
Provider

Udemy
Certificate

No Information
Language

English
Start Date

2015-10-14
Learners

No Information
Duration

No Information
Instructor

Adastra Academy

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4.4

17,897 Ratings

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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Understanding Data Quality and Reference Data Management

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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.

Course Syllabus

Reference Data Management

Data Quality Management

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