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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.
Dashboards aid with budgeting, management control, and wage control. Dashboards are used to present data in a quick and easy to read way. The ability to present data in a quick way with a visual allows for more data to be processed and understood. Dashboards are used for performance reports, sales analysis on sectors, and inventory rotation.
A web developer is a programmer who develops World Wide Web applications using a client–server model. The applications typically use HTML , CSS , and JavaScript in the client, and any general-purpose programming language in the server.
A full-stack developer is someone who has expertise in working with both the frontend and backend technologies, allowing them to handle all aspects of web application development. MEAN (MongoDB, Express.js, Angular, Node.js) and MERN (MongoDB, Express.js, React, Node.js) are popular full-stack development stacks that streamline the development ...
Backend as a service (BaaS), sometimes also referred to as mobile backend as a service (MBaaS), [1] [2] [3] is a service for providing web app and mobile app ...
Excel for the web is a free lightweight version of Microsoft Excel available as part of Office on the web, which also includes web versions of Microsoft Word and Microsoft PowerPoint. Excel for the web can display most of the features available in the desktop versions of Excel, although it may not be able to insert or edit them.
The developer of the front end keeps these points in mind, utilizing available tools and techniques to reach this end. [5] Accessibility
OLAP clients include many spreadsheet programs like Excel, web application, SQL, dashboard tools, etc. Many clients support interactive data exploration where users select dimensions and measures of interest. Some dimensions are used as filters (for slicing and dicing the data) while others are selected as the axes of a pivot table or pivot chart.