Have your databases outlived their usefulness? Many large enterprises, especially those in finance and banking, are finding that their VSAM, ISAM, IDMS, and IMS databases can no longer meet the demands of mobile, cloud computing, big data, gamification, and social media. These companies need to move data from legacy mainframes to modern databases: data modernization.
Here are the three main drivers of data modernization:
- 1The cost of maintaining legacy databases (running into the millions for some companies)
- 2A need for faster access to data with seamless integration to other systems
- 3The struggle to find IT personnel with the skills to maintain legacy databases
Of course, there can be significant challenges to data modernization projects. They include:
- A lack of documentation of the business rules in the legacy code
- A need for a phased approach that poses technical challenges (e.g., data redundancy)
- A need to prevent business disruptions during the migration
- High costs for training on new systems
- A lack of methodology necessary to conduct such a project
In “Realizing the Benefits of Data Modernization,” I detail the drivers, challenges, and benefits of data modernization, then outline three methods that can be used, depending on a company’s business goals. Finally, I show two scenarios, one showing a move from a mainframe to a modern RDBMS and one from an RDBMS to a newer RDBMS from a different vendor.
Download Realizing the Benefits of Data Modernization Perspective.
Fecha de publicación: 29/02/2016