The Greatest Reasons to use or not to use a De-centralized Data Management Architecture
Imagine having a dancing party for your data. Everyone in harmony waltzing, stepping on their partner's toes from time to time. Distributed data management is no less amusing. It's chaotic, occasionally hair-raising but with the right approach can even be perfect. A central huge data warehouse is a struggle to scale efficiently and hard to innovate. There is no clear ownership of the data domains and it is a single point of failure. During peak usage times, data access and processing can be slow. Even implementing updates or upgrades can be quite complex and time-consuming. Centralized databases are attractive targets for cyberattacks and successful breaches can compromise a large amount of sensitive data. As an alternative to a centralized Data Warehouse, data can be owned and managed by the domains, producing it. When considering a decentralized approach, we need to make sure there is a self-serve data infrastructure platform that allows different domains or teams to acces