Enhancing your Data Modelling environment
Data Modelling – building, designing, and sharing the structure of databases. Sounds simple enough, right? On one level this may be true, if applying a simple evolution to a single database. But as we all know, data in its raw format can be complex, scaling in a downwards spiral as businesses expand. The question becomes then, how do we, as data modelers, scale our efforts to ensure that simplicity is maintained in processes, yet still robust enough to handle the increase in complexity.
Is hiring new modelers enough?
This may seem like the simple answer, and to some the best option at first. Building a dedicated team is just one step, requiring careful consideration into:
- Deployment of standardised datatypes and methods – distributed workloads may allow for more efficiency construction of building blocks, but only if the segments can uniformly join into a cohesive unit.
- Application of version control and validation – Rapid development processes places a level of autonomy on developers, requiring version control to review and approve changes.
- User management for parallel development – enforcing security polices & update processes for optimal development in a team environment.
- External access – Proper management may often require non-technical users to gain insight into the activities of the modelers.
Applying procedures to bolster productivity
Utilizing the correct software is essential to enforce procedures to address the aforementioned considerations, without which complex and costly custom implementations are required. Complete infrastructure will provide full access management, multiple methods of native connections and open scalability to expand with your business.
Software alone isn’t enough. Possessing the correct toolkit provides the means to build your data structure, but only if you hold the skills necessary to wield the tools. The importance of being able to apply current business process and workflows without compromising the abilities of the tool cannot be understated. Openness provides the option to cater repository storage to current management flows to aid in the enforcement of version control and parallel development processes.
erwin Mart Server by Quest provides the above in a single, neat package available as a native add-on for the erwin Data Modeler. Full user management both individually and group assignment, concurrent modelling with full version control. Integration with Data Intelligence facilitates the creation of a complete ecosystem to unlock your true data.
Watch our Webinar to learn more about how you can accelerate your Data Modelling experience.