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1. What big changes does this upgrade bring?
2. What problems does this upgrade solve?
3. What’s the real value of this upgrade from a technology perspective?
4. How much effort is it going to take to implement?
5. What if I’m running a much older version?
Ans:
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Ans: Version 11 promises to deliver improved efficiency by integrating the standard and advanced editions – basically combining the traditional MDM and the Initiate Master Data Service – which means a number of duplicated functions are removed. There have also been some batch processor improvements.
Security is now on by default, which of course helps to minimize potential future issues and ensure that only the people who need to see the data can see the data.
In general, though, this upgrade is less about solving “problems” than it is about moving forward and enhancing existing efficiencies and strengths. This upgrade is an evolution more than a revolution.
Ans: To an implementer, the OSGi framework is such a different way of looking at the MDM product as opposed to the old EAR-based system that it’s worth it to start working with this upgrade just for the advantage of getting an early start on familiarizing yourself with this new technology.
While still maturing in the IBM MDM product, it promises faster and more dependable deployments, dependency management, and a modular code structure. It comes with the ability to start and stop individual modules or upgrade them without shutting down the whole application. This can lead to much-improved uptime for the MDM instance(s).
It’s also worth noting that for a company on the IBM stack, the improved integration with products like DataStage can really increase the value of this product to the enterprise.
Ans: IBM has held strong to their “Backwards Compatibility” statements, which is key in upgrade projects. However, given the technology change with OSGi, effort-wise this upgrade will take a little more than if going up to say, 10.1.
We’ve seen a number of PMRs, etc to be expected from a new release, particularly one on new technology. Fortunately, InfoTrellis has been involved in a good number of installation and product-related PMRs and has experience both working with IBM and clients to resolve them quickly.
Ans: MDM 8.5 Goes out of service on 30 April 2014 and 9.0.2 goes out of service on 30 April 2015. As far as any prior versions, it has value to move to more current versions of DB & WAS, not just MDM. OSGi looks well positioned to be used across the board in the near future considering all of the advantages it provides; so again, it’s good to get your hands on it and start learning to work with it sooner rather than later.
Ans:
Ans: If you’re currently using MDM 10.x, it might not turn out to be worth the effort to upgrade immediately if implementation just took place. It is worth reiterating that v11 is the way of the future from an implementation standpoint, and the OSGi framework will likely be the way of the future.
Ans: Working with a more modern MDM means less need to upgrade in the future, and future upgrades using OSGi are easier to implement. Version 11 comes with an increased feature set – Big Data, virtual/physical MDM, etc – that will allow much better creation of business value from the data that you already have.
Increased or improved integration with other products, like InfoSphere Data Explorer or InfoSphere BigInsights, is another big plus for those already invested in IBM products.
Ans: A number of things stand out:
Ans: Put quite simply, experience: we are already ahead of the game by being one of the first implementers in North America if not the world to be participating in upgrade and implementation efforts for MDM 11. We’re also able to leverage our volumes of experience with prior versions.
InfoTrellis is involved in a number of MDM 11 projects already – both upgrades and new implementations – on a variety of Operating Systems (Linux, Solaris, AIX) and databases (Oracle, DB2).
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Ravindra Savaram is a Technical Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.