The competent software architecture plays a crucial role in the difficult task of big data
processing for SQL and NoSQL databases. SQL databases were created to organize data …

Organizing the storing of information and data retrieval from databases is a crucial issue,
which has become more critical with the spreading of cloud and Internet of Things (IoT) …

Cloud storage allows organizations to store data at remote sites of service providers.
Although cloud storage services offer numerous benefits, they also involve new risks and …

Manually integrating data of diverse formats and languages is vital to many artificial
intelligence applications. However, the task itself remains challenging and time-consuming …

Information exchange between building information modelling (BIM) and geographic
information system (GIS) is problematic, especially in terms of semantic information. Graph …

Building performance management requires massive data input; however, the relevant data
are separated and heterogeneous; thus, it prevents a comprehensive building performance …

Relational databases are used in many organizations of various natures from last three
decades such as Education, health, businesses and in many other applications. SQL …

A scientifically informed approach to decision-making is key to ensuring the sustainable
management of ecosystems, especially in the light of increasing human pressure on habitats …

In the last decade, new types of databases emerged, most notably NoSQL databases. Within
this family of databases, there are specific models, such as document-based, graph-based …

There is a high need for a big data repository for material compositions and their derived
analytics of metal strength, in the material science community. Currently, many researchers …