The concept of a smart city comes with the need to support a data platform that can gather,
process and export the data of millions of sensors, coming from different sources, with …

High-performance multi-catalog fusion or cross-matching has always been an essential
issue in astronomical data processing. In this study, we focus on the fusion of multi-band …

This paper discusses the performance of different relational databases using query analysis
and optimization under different conditions. The three most popular relational databases are …

Column-oriented databases have emerged as effective solutions for handling massive
amounts of data, and data compression plays a crucial role. Attribute columns are divided …

Given the rich data types and large data volume of environmental scalar data, a three-
dimensional environment visualization system based on GeoSOT-3D subdivision grids is …

There is a continuously growing demand for improved solutions that provide both efficient
storage and efficient retrieval of big data for analytical purposes. This thesis researches the …

Abstract The Office of Religious Affairs of the Pasar Jambi sub-district of Jambi City has
several important tasks in terms of marriage affairs. Still, the problem is that the data is …

In recent years, the rise of data-driven fields such as data science, artificial intelligence, and
business intelligence has significantly increased the demand for efficient data storage …

As infrastructures and software grow in complexity the need to keep track of things becomes
important. It is the job of log aggregation solutions to condense log data into a form that is …

Creating an effective data platform for real-time and historical data in urban environments is
crucial, necessitating a robust architecture. The platform must seamlessly gather, process …