Mainframe data integration: removing barriers to integration

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Thanks to data integration technologies, it is possible to continue to capitalize on the significant investment made in a mainframe through a significant improvement in its interoperability.
Mainframe data integration solutions provide flexible and scalable data access, transformation and integration capabilities on a mainframe , allowing data to be securely transferred between mainframe and distributed systems environments.

The existence of very different technologies from multiple manufacturers has increased the need to carry out data integration projects to allow information to be more accessible and thus be able to meet the needs of the constantly changing business.

To achieve this, the data integration technologies used moj database enable, accelerate and simplify the movement of data, as well as its constant updating without excessive development times or high costs. But is it possible to include a mainframe in a data integration project?

Today, data integration projects face numerous challenges, and integrating mainframe data is one of them. Thanks to data integration technologies, it is possible to continue to capitalize on the significant investment made in a mainframe by significantly improving its interoperability with respect to multiple sources and destinations.







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The necessary adaptation of mainframes
The inclusion of a mainframe in a data integration project allows the IT department to obtain the maximum value from its integration projects, since mainframes are systems that are still strategic in many sectors. Far from having to be replaced by modern technologies, these powerful systems are still valid thanks to their unsuspected capacity for transformation, which is why tools are needed to include them in any data integration initiative.

In fact, its modernization requires adapting to the new technological environment, marked by the multiplicity of technologies - including Big Data and cloud computing - and the pressing need to make data accessible where and when it is needed, a requirement that requires mainframe data integration tools.

Thanks to mainframe data integration, it is possible to face change and protect the investment , without having to abandon these platforms or deploy costly data migration projects that are not always convenient.