As one of the main development directions in the information field, big data technology can
be applied for data mining, data analysis and data sharing in the massive data, and it …

Efficient big data management is a dire necessity to manage the exponential growth in data
generated by digital information systems to produce usable knowledge. Structured …

ETL is the bedrock of a data warehouse. As the data accelerates in the diversified fields, it is
substantive to integrate the data to extract the prerequisites for business advancement and …

Big data is crucial in the modern world because more datasets are falling in its domain. The
term refers to the enormously growing complex heterogeneous datasets requiring powerful …

Health data science systems are becoming key for supporting healthcare decision-making
processes. However, these systems should achieve continuous data processing and adapt …

Due to the constantly increasing amount and variety of data produced, big data and the
corresponding technologies have become an integral part of daily life, influencing numerous …

Data analytics has been recently adopted by many researchers and professionals working
with data in both academic and industry. With the increase in demand for data analysts …

This study delves into the EA-SAS platform, a digital twin environment developed by our
team, with a particular focus on the EA-SAS Cloud Scheduler, our bespoke program …

The field of conceptual modeling has been in existence for over five decades. To understand
how the field has evolved and should continue to evolve, it is useful to examine the …

The development of the digital economy is one of the priority areas for most countries, so the
requirements for ICT specialists are changing and increasing, as a consequence of these …