5 rules for getting data architecture right
Architecting modern applications is a tough job, and architecting a solid data model for modern applications is one of the toughest, yet most important, parts of a modern application architecture.Failure to create a reasonable data architecture can cause your application to fail in many bad ways—from performance-related issues to data integrity issues to data sovereignty and data safety issues, to scalability issues. A poor data architecture can leave your application—and your company—in bad shape. [ Also on InfoWorld: 3 reasons centralizing your data is a bad idea ] Building a proper data architecture is critical to the long-term success of all modern architectures. To assist in your application modernization process, here are five rules to follow when architecting—or rearchitecting—your application data.To read this article in full, please click here
Architecting modern applications is a tough job, and architecting a solid data model for modern applications is one of the toughest, yet most important, parts of a modern application architecture.
Failure to create a reasonable data architecture can cause your application to fail in many bad ways—from performance-related issues to data integrity issues to data sovereignty and data safety issues, to scalability issues. A poor data architecture can leave your application—and your company—in bad shape.
Building a proper data architecture is critical to the long-term success of all modern architectures. To assist in your application modernization process, here are five rules to follow when architecting—or rearchitecting—your application data.
