We help lay the foundation for a business by facilitating the design, build, and deployment of a data strategy that at its core focuses on maximizing performance while optimizing functionality.

Database Architecture

The design of a database management system (DBMS) depends on its architecture which can be centralized, decentralized, or hierarchical. It is the foundation on which the performance of a system lies. DBMSs are also used to store and organize the data and information for all kinds of businesses. A database’s architecture includes the design, development, implementation, and maintenance of a DBMS. Additionally, DBMS architecture enables firms to divide a database system into individual components that can be independently modified, changed, replaced, and altered.

The benefits of using a 3-layer architecture include improved horizontal scalability, performance, and availability. With three tiers, each part can be developed concurrently by a different team of programmers coding in different languages. We offer three tiers of DBMS. They are:

  • Database Tier
  • Application Tier
  • Presentation Tier

Database (Data) Tier − At this tier, the database resides along with its query processing languages. There are also relations that define the data and their constraints at this level.

Application (Middle) Tier − The application server lives at this tier. This means that the programs that access the database are available at this tier. For a user, this application tier presents an abstracted view of the database. End users are unaware of any existence of the database beyond the application. Conversely, the database tier is not aware of any other user beyond the application tier. Hence, the application layer acts as an intermediary between the end user and the database.

User (Presentation) Tier − End users operate on this tier. At this layer, multiple user types can access the database applications. All views are generated by applications that reside in the application tier.

The Uncut Lab team helps clients in the design of a strategy that focuses on maximizing performance while optimizing functionality using database architecture. Our team helps clients assess the best data acquisition strategy, secure transportation, the most optimized storage, and the most efficient query that will ensure data integrity. We provide services in the following database architectures:

  • on-premise via cloud-based data platforms
  • batch to real-time data processing
  • pre-integrated commercial solutions to modular, best-of-breed platforms
  • point-to-point to decoupled data access
  • enterprise warehouse to domain-based architecture