Managing and storing data play an increasingly important role in today's world.
We are struggling with the ever-increasing amount of data, that will raise the cost of
related activities, so it is essential to maintain data properly and transform it into a more
transparent form. Most large companies can receive data from multiple sources, and often
these data are stored in separate systems. As a result, there may often be some information
in different formats, but with very similar content in several storages. In order to get a
uniform result when using redundant data, it is essential to build a system that provides a
common interface for them, so we need to implement some kind of Master Data
This document gives a cloud-based solution to the problem mentioned above.
With the system described, it is possible to load data uniformly into a common container.
After that we can find similarities and redundancies, and then combine the given
information to create an easy-to-maintain and unified dataset. In addition the cloud-based
implementation provides an easy-to-expand and flexible solution, and can help reduce the
cost of maintenance.
The thesis, if not directly, but with minor changes, can provide a lot of help in
building a cloud-based Master Data Management system, and can provide solutions to a
number of emerging issues.