As businesses grow and their data needs continue to increase, they need to find ways to efficiently store and access that data. In the early days of computing, these tasks were fairly simple because most data was stored on individual machines. With the advent of large-scale computing, however, this became more difficult as it became difficult to keep track of which machine stores which piece of data.
This problem was solved by the development of modern data infrastructure. These systems would store all of the data for a company in one location, allowing users to access that information from anywhere in the organization. Centralized systems also allowed companies to scale their data storage capacities as needed without having to worry about managing individual machines.
As centralized systems became more prevalent, companies began looking for ways to improve upon them. One area where they wanted to improve was performance. Centralized systems could be slow due to the number of requests that had to be processed in order to get information back down to users. Organizations started looking for technologies that could help speed up access to data while still keeping it centralized.
One such technology was databases. Databases are similar to centralized systems in that they contain all of the information for a company's users. However, unlike centralized systems, databases are designed so that users can access that information without having to go through a central server. This made databases an ideal solution for speeding up access times for users across an organization.