Understanding Data Quality and Reference Data Management
4.0 (226 ratings)
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Understanding Data Quality and Reference Data Management

This course provides a high level overview of Reference Data Management and Data Quality Management concepts
4.0 (226 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
4,188 students enrolled
Created by Adastra Academy
Last updated 10/2015
English
Price: Free
Includes:
  • 40 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Understand the concepts of Reference Data
  • Understand the concepts of Reference Data Management
  • Understand the concepts of Data Quality
  • Understand the concepts of Data Quality Management
View Curriculum
Requirements
  • Basic understanding of enterprise data management
Description

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:

  • Reference Data Management
  • Data Quality Management.

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.

Who is the target audience?
  • Solution Architect
  • Data Quality Consultants
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Curriculum For This Course
+
Reference Data Management
2 Lectures 17:24
Reference Data Management Overview
10:15

Reference Data Challanges
07:09
+
Data Quality Management
3 Lectures 22:26
Data Quality Management Overview1
10:06

Data Quality Management Overview2
08:48

Data Quality Management Overview3
03:32
About the Instructor
Adastra Academy
4.0 Average rating
1,083 Reviews
10,336 Students
6 Courses
Emerging Data Management and Analytics Technology Educators

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.