How do I solve my acute date integration problem

Organisations today use a lot of applications. Some of the applications are in the cloud and others run within the organisation itself (on premise). Linking multiple systems together using data integration can be quite a challenge. But what if the data integration goes wrong?

If you fail to perform data integration properly, you run the risk of losing data. Certain business processes can also be interrupted and shut down. It is therefore wise to call in a specialist who can guide the process.

From A to B

If an organisation notices that data integration is not going well, an expert can place their own component between system A, where the data comes from, and system B, where the data goes to. Although it often involves several systems at the same time. The component ensure and check whether the packets are properly received and whether they are propery passed on to system B. If something goes wrong somewhere in the process, the customer will receive an error message.

In the event of an error or time-out, there are two options: or you can try again to see which information has been received correctly. The risk here is that you will get duplicate data records. Or you do nothing and you may miss data

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When an organisation is faced with a data integration problem, it is important to first check whether a software link to the open-source data integration platform already exists for this. Usually this is the case, and otherwise the link is developed so that it fits well with the existing system.

The open-source data integration framework acts as a kind of adapter for the data from system A to system B. The data integration software takes care of the transfer of data from system A to system B.


In order to properly assess whether this link can be made with the data integration platform, it is necessary to have a good overview of the architecture of the organization. It must therefore be clear which systems are running, which must be able to communicate with each other and whether they connect to the data integration software. The data integration component placed between the original application and the new system puts the administrator back in control of the solution and the data.


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The 10 principles of system integration applied

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