In recent years, new data characteristics led to the development of new database
management systems named NoSQL. As opposed to the mature Relational databases …

Multi-model databases support different NoSQL data models at once, typically a
combination of relational, key-value, document, and graph models. Their expected benefits …

This paper provides an introduction to and discussion of SIGNAL, an industry-scale process
data querying language and engine for large-scale cloud-based systems that is developed …

Data lifecycle management is gaining in complexity in times of increasing
interorganizational collaboration, agile product development, and growing information …

Electronic health records (EHR) are considered the backbone of modern health system.
When they are implemented effectively at scale, they hold the promise of enhancing …

In the era of digital transformation, enterprise web applications have become indispensable
tools for business operations, necessitating the efficient and reliable management of vast …

The NoSQL databases that emerged this century were created to solve the limitations of
relational database systems due to the different types of data that have appeared for …

The advancements in technology such as Web 2.0, 3.0, mobile devices and recently IoT
devices has given rise to a massive amount of structured, semi-structure and unstructured …

There has been an increase in the generation of data due to the fact that apps are now able
to take into account or store information in a variety of formats. In this context, modern …

Oftentimes modern applications have converging functionalities, which cannot all be
handled with one type of data management system efficiently. This leads to applications …