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A back-end database is a database that is accessed by users indirectly through an external application rather than by application programming stored within the database itself or by low level manipulation of the data (e.g. through SQL commands).
One thing the most visited websites have in common is that they are dynamic websites. Their development typically involves server-side coding, client-side coding and database technology. The programming languages applied to deliver such dynamic web content vary vastly between sites.
In software development, frontend refers to the presentation layer that users interact with, while backend involves the data management and processing behind the scenes. In the client–server model , the client is usually considered the frontend, handling user-facing tasks, and the server is the backend, managing data and logic.
Firebase's first product was the Firebase Realtime Database, an API that synchronizes application data across iOS, Android, and Web devices, and stores it on Firebase's cloud. The product assists software developers in building real-time, collaborative applications.
Back-end development involves building the server-side logic and database components of a web application. It is responsible for processing user requests, managing data, and ensuring the overall functionality of the application. Key aspects of back-end development include:
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 ...
A web framework (WF) or web application framework (WAF) is a software framework that is designed to support the development of web applications including web services, web resources, and web APIs. Web frameworks provide a standard way to build and deploy web applications on the World Wide Web .
Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata, [1] and allows use of multiple data sources within a query.