Atomizing E- Government Facilities Using Big Data Analytic

Abstract

During the last two decades, technical advancements in data bases and query processing have replaced hard copy maintenance in government sectors, resulting in an increase in the use of software applications to simplify human tasks in a matter of seconds. Any official task that has to be more efficient requires improvement and quick access. Collecting demographic information is also a major concern for government authorities. This article offers a method for gathering people's data and organizing it as a hierarchy using a tree structure, which may be used to produce unique data and reduce redundant data. The Hadoop Map Reduction function can be used to complete this expected task.

Research on the Application of Big Data in College Physical Education Teaching and Training

“…Manogaran selected the specific attributes of the talent index system and predicted the possibility of individual talents becoming excellent teachers [14]. Tan analyzed the current situation of talent training management, analyzed the talent training management model at different stages of universities, and solved the problems of talent type division, talent loss prevention, and performance assessment system construction [15][16]. The dilemma faced by college PE is driven by big data informatization and the present situation of using new IT in college PE.…”