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Youtube76,259 learners
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This course provides a comprehensive introduction to data quality and data quality management. It covers topics such as data quality issues, data quality metrics, data quality tools, data quality assurance, data quality assessment techniques, data remediation, and data quality challenges and solutions. Learners will gain an understanding of data quality concepts, data quality analysis, master data quality management, and the process of data quality assurance. Additionally, the course will explain the concepts of data quality, data quality management, data quality analyst, and data quality assessment. This course is perfect for new learners who want to gain a better understanding of data quality and data quality management.
Understanding Data Quality and Reference Data Management
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Udemy17,897 learners
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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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