Treasure Hunt on Web-Predicated Distributed Systems

Abstract

In the information age, analytics are critical. Due to the anticipated high demand for highly regarded analytical abilities, various actions must be made to meet the requirement. Despite the fact that there are various resources for learning analytics, none of them provide immersive, hands-on experience working with massive data sets. Treasure Hunt is a learning analytics product developed by Analyttica Data Labs Pvt Ltd.  It is a web-predicated Java application that is utilized to process data and derive information and, in this process, withal   edify   the   utilizer   the approach to analyze data.The platform now works on a single node, bolstering only flat files as data with limited visualizations. We are using distributed computing to help millions of people. To manage larger, more voluminous data sets, we are incorporating database connectivity. Once the relevant data has been collected, it may be visualized as any desired chart using R graph to summarize and display information in an easy-to-understand manner.

The aim of this study is to understand a better way to handle astronomically immense data sets to facilitate results from web-predicated distributed computing.