- Promoted by: Anonymous
- Platform: Udemy
- Category: Operating Systems & Servers
- Language: English
- Instructor: Bert Dingemans
- Duration: 9 hour(s)
- Student(s): 3,035
- Rate 5 Of 5 From 165 Votes
- Expires on: 2025/02/10
-
Price:
44.990
Data Management processes to improve the quality of the data in your organisation
Unlock your potential with a Free coupon code
for the "Introduction to Data Management" course by Bert Dingemans on Udemy.
This course, boasting a 5.0-star rating from 165 reviews
and with 3,035 enrolled students, provides comprehensive training in Operating Systems & Servers.
Spanning approximately
9 hour(s)
, this course is delivered in English
and we updated the information on February 07, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
In this course we introduce the various aspects of Data Management. After an introduction and definitions of data, information and knowledge we will introduce data management and improving the quality of data entities via Data Management work processes. Subjects like data governance, data qualities, integration, data warehouses and business intelligence, data security, meta data, data architecture, data modeling and master data management are introduced in a practical manner. The Data Management are discussed based on a simple framework. There is a brief discussion of available open industry frameworks like MIKE and the DaMa Body of KnowLedge.
With this course you will be able to address data management issues present in your organisation. Furthermore for a number of subjects we will introduce measures you can take to solve issues in the data management field of interest.
Apart from the video lessons there is a practical case, the DaMAcademy, available with practical assignments for every relevant section of the framework. Also every section includes a quiz to test the knowledge you gained about the subject of the section. Furthermore you receive bonus material like a template for a meta data set register, examples of data patterns and principles and the slides of the course.
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