You do not need to use separate platforms when you work with multi-data models in your organization. Many Fortune 500 companies use this type of configuration, although its popularity does not mean that it is a simple process. When you work with multiple systems on the same platform, you face many integration challenges with your relational and non-relational databases.
Problems Encountered When Integrating Relational and Non-Relational Databases
One reason that organizations run into problems during multi-data model platform adoption is due to the rapidly changing environment of open-source communities and security requirements. You need to have the agility to keep pace with these changes, especially when it comes to managing risk.
The available data sources continue to expand, from the internet of things sensors to third-party repositories. You have to keep each set of security requirements and measures in mind when you’re working with these varied sources. On top of that, handling real-time data adds another complex element to the equation.
You need a powerful plan and solution for bringing these two database types together. Trying to operate with a single database architecture prevents you from accessing the flexibility and scalability required for remaining competitive in the modern business environment. Business agility continues to be one of the most important assets that enterprises can have in a world where the next technology innovation could be waiting right around the corner.
Getting the Most Out of Merged Relational and Non-Relational Databases
A single platform solution for managing your structured and unstructured data makes your database operations much more streamlined. You have IT staff capable of looking at a single panel to find out what’s going on with the databases, rather than working with two or more platforms for your data architecture.
Bringing relational and non-relational databases together comes at a premium cost for support, although the investment is well worth it in the long run. You need continuous monitoring and specialized support to maximize your integrated solution. A managed services company that has a lot of hands-on experience with complex database environments can act alongside your onsite IT staff and help them maintain the system.
Imagine there are over one hundred logins in the source server and you need to migrate them all over to the destination server. Wouldn’t it be awesome if we could automate the process by generating the scripts for the required tasks?
It’s 2015 and you can now establish totally respectable MS SQL DBA credibility just by mentioning you have been in the game since SQL Server version 9. You may even get the same gasps of shock from some colleagues that used to be reserved for the version 6 veterans.