Page 35 - EngineerIT November 2022
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TECHNOLOGY AND INNOVATION


        MIGRATING DATA FROM THE MAINFRAME


        TO THE CLOUD SIMPLIFIED




        by FIRtech COO Fanie Botha


            ecent advances in automated tools for migrating legacy applications to the cloud
            have altered the mainframe market. Many companies that rely on mainframes
       Rare now migrating to modern cloud-based platforms in order to stay relevant and
        ultimately, to save costs.
           However, one of the biggest challenges when migrating from any mainframe is   Fanie Botha
        moving transactional and master data. These large-scale migrations normally take longer
        than 18 months and given the scale and complexity of these projects, businesses have
        been slow to adopt these automated migration tools.                         RaaS provides business leaders with
           Data migrations always seem simple on paper, but the reality is that 1:1 mappings end   better access to the data captured in
        up becoming 1:n:1 mappings, with more exceptions than rules. The reasons behind this   these legacy systems. Mainframe data,
        include the fact that modern enterprise systems model data objects very differently to   which contains many years of business
        how mainframe systems were designed.                                      transactions, can now be used to feed
           The fact is that many of these data migrations that are sold as being ‘automated’ end   analytics or machine learning initiatives
        up being executed by teams of human data capturers and developers. They spend much   that can deliver a competitive advantage.
        more time on programming for the deviations in the data than the fields that can map   By taking advantage of the multiple
        1:1.                                                                      protocols and interfaces available on
           Imagine if one could replace the team of human data capturers with a humanoid   cloud services, they can unlock core
        robot. It could be trained on exactly the same principles and exceptions that necessitated   business processes and data in their
        the use of humans over data migration programs in the first place.        mainframe. Companies can now access
                                                                                  mainframe data instantly - RaaS will help
        Digital workers are the solution                                          them move away from rigid monoliths
        Well, it’s now possible with FIRtech’s Robotics as a Service (RaaS) solution. It’s an   and remove outdated interfaces and
        automation tool that makes this task almost effortless, a proven mainframe data   protocols.
        migration and modernisation tool that helps companies mitigate their mainframe risks in   Cloud is the future, it offers access to
        the shortest possible time and with the least amount of risk.             advanced analytics, AI, machine learning
           The data migration robot uses front-end GUI’s to retrieve data from the mainframe   and data lakes. It also offers horizontal
        and automatically migrate and capture the data into a new system. This removes any   scalability with virtual unlimited capacity
        risks, where business rules that are built into the system GUI or terminal, are overwritten   to increase scalability and elasticity.
        by the use of back-end scripts.
           More importantly, it also ensures that exceptions are caught, fixed and recaptured   For more information or to request
        before any data inconsistency is created in the new system. A single robot can work up   a free demonstration, visit
        to 24 times faster than a human and doesn’t need any rest or sleep - effortless, errorless   https://reconbot.co.za/ or email
        data migration in a matter of hours, not days or months.                  info@firtech.co.za

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