Flexible Enterprise Master Data Management Solution in Azure

OData support
Supervisor:
Simon Gábor
Department of Automation and Applied Informatics

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

Management system.

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.

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