Resource Forecasting of Geographical Area Using Big Data Analytics
摘要
Prospective purchasers now deal with location ignorance in a certain area. Here, we want to set up a big data analytics system that can handle different kinds of data processing for a broad variety of uses. Big data analytics (BDA) is an organized method for examining and spotting various relationships, patterns, and trends in a sizable amount of data. In this study, we use BDA to data resources where visualization and trend prediction are achieved by exploratory data analysis. Hadoop-based big data analytics has a useful function. We can extract previously undiscovered, valuable information from structured data by using the big data idea and data mining tools. Here, computer science and the municipality are working together to create a data mining process that will assist people seeking to learn specifics about a certain geographic location. This project may be produced with the aid of data on transportation, utilities, water supply, electricity supply, and other amenities. It is based on location data that our interface will analyses in the past and provide reports to the user.