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N-tier architecture is a good fit for small and simple applications because of its simplicity and low-cost. Also, it can be a good starting point when architectural requirements are not clear yet. [1] [2] A three-tier architecture is typically composed of a presentation tier, a logic tier, and a data tier.
Multitier programming (or tierless programming) is a programming paradigm for distributed software, which typically follows a multitier architecture, physically separating different functional aspects of the software into different tiers (e.g., the client, the server and the database in a Web application [1]).
Database caching is a process included in the design of computer applications which generate web pages on-demand (dynamically) by accessing backend databases.. When these applications are deployed on multi-tier environments that involve browser-based clients, web application servers and backend databases, [1] [2] middle-tier database caching is used to achieve high scalability and performance.
using stored procedures that run on database servers, as opposed to greater reliance on logic running in middle-tier application servers in a multi-tier architecture. The extent to which business logic should be placed at the back-end versus another tier is a subject of ongoing debate.
The ANSI-SPARC Architecture (American National Standards Institute, Standards Planning And Requirements Committee), is an abstract design standard for a database management system (DBMS), first proposed in 1975.
In computing, a database is an organized collection of data or a type of data store based on the use of a database management system (DBMS), the software that interacts with end users, applications, and the database itself to capture and analyze the data. The DBMS additionally encompasses the core facilities provided to administer the database.
Business logic in theory occupies the middle tier of a 3-tier architecture. Business logic could be anywhere in a program. For example, given a certain format for an address, a database table could be created which has columns that correspond exactly to the fields specified in the business logic, and type checks added to make sure that no invalid data is added.
A data architecture aims to set data standards for all its data systems as a vision or a model of the eventual interactions between those data systems. Data integration , for example, should be dependent upon data architecture standards since data integration requires data interactions between two or more data systems.