Having the correct data model is important for any application, but it becomes
especially critical for applications that need zero downtime, zero lock-in, and global scale.
An application may work with thousands of records and a few hundred concurrent users,
but what happens when record and user counts are in millions or billions?
Regardless of the database, if the data model isn’t right, or doesn’t suit the underlying
database architecture, users can experience poor performance, downtime, and even data
loss or data corruption. Fixing a poorly designed data model after an application is in
production is an experience that nobody wants to go through. It’s better to take some time
upfront and use a proven methodology to design a data model that will be scalable,
extensible, and maintainable over the application lifecycle.
Please fill all the required * fields.