Database design can make or break your analytics application. Functionality, ease-of-use, performance, and maintainability depend on the design choices that are made early in the application development process. Our data architects have years of experience designing complex analytics applications, which are deployed at the largest enterprises in the world. A strong database design must consider:
- Incoming data sources and their rate of change
- Data consumption patterns
- Performance requirements and cost constraints
- Data security and governance
In the end, it all comes down to performance. Analytics users have little tolerance for waiting. Optimizing the data layer of an analytics application is one of the most important tasks in creating superior analytics. Our data engineers have years of experience tuning databases to optimize large-scale applications, ensuring that every request is responded to in the most efficient manner.