This introductory level course provides students with a high level understanding of Master Data Management. Master Data refers to having a single copy of a data record for an organization to ensure that the proper data quality measures are in place. Master data also ensures consistency of reporting across all multiple lines of business within an organization.
This course highlights key Master Data Management concepts, methodologies, and processes including definitions, examples, common master data challenges, architecture considerations, types of master data projects, the data mastering process, and matching and merging techniques. The course also touches on best practices of master data storage within a repository structure.
The main items explained in this course include:
Learn the fundamentals of teaching online. Especially developed for teachers!
Learn fundamentals of Numpy , frequent used Numpy statistical functions with the help of real-world use-cases
Learn Creating 3D Models for parts, assemble different parts and make motion between them.
Unlocking the Secrets of Branding Success in the Digital Age
Download effective conflict management tools, learn the formula of understanding, discover the hidden cause of conflicts
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.
