- Reference Data Management Overview
- Reference Data Challanges
- Data Quality Management Overview1
- Data Quality Management Overview2
- Data Quality Management Overview3
The Data Management overview course is a free, high-level course that covers two challenging data related issues that face organizations in the modern day:
The Reference Data Management overview highlights the key principles and processes for effective reference data management within organizations. The lectures cover Reference Data and Reference Data Management components in order to provide an overall understanding of key concepts and terminologies. The course also provides insight on Reference Data challenges, benefits of a Reference Data Management solution, best practices in implementation, and typical solution architecture.
The Data Quality Management overview provides an overall understanding of key Data Quality Management concepts, methodologies and terminologies including profiling, data quality metrics, and stewardship responsibilities. Upon completion of this course, students will gain insights into key data quality activities such as, parsing, validation, standardization, cleansing, enrichment, scoring, measurement, and exception management.
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We're focused on the tools and technologies that matter most for today and tomorrow.
Adastra Academy is a leading source of training and development for Information Management professionals and individuals interested in Data Management and Analytics technology. Our dedication to identifying and mastering emerging technologies guarantees our students are the first to gain access to critical skills. Our programs consist of hands-on labs and real world examples allowing students to easily apply their new knowledge.
As a division of Adastra Corporation, we leverage twenty years of world-class Information Management knowledge, experience, services and solutions to fuel the Academy and to advance Information Management professionals everywhere.