Optimizing Angular Dashboards for Real-Time Data Analysis

Abstract

In the era of real-time data, businesses and organizations increasingly rely on dynamic dashboards to make informed decisions. Angular, a popular web application framework, has become a go-to tool for developing scalable, interactive, and responsive dashboards. However, optimizing Angular dashboards for real-time data analysis presents several challenges, such as ensuring high performance, maintaining data accuracy, managing live updates, and delivering smooth user experiences. This research paper explores methods for optimizing Angular-based dashboards specifically for real-time data analytics. The paper first reviews the existing literature on Angular dashboard frameworks and their integration with real-time data sources, including WebSockets, Server-Sent Events (SSE), and polling mechanisms. The primary focus is on performance optimization strategies that ensure low latency and fast rendering of large data sets, as real-time dashboards often require the integration of complex and voluminous data sources.