Nowadays, data are generated in a continuous streaming manner as the inputs of various
applications. The sources of such generated data can be wired or wireless sensor networks …

Due to the scalability and availability problems with traditional relational database systems,
a variety of NoSQL stores have emerged over the last decade to deal with big data. How …

In the age of “Data Science and Advanced Analytics”, we are witnessing a race for
developing data-driven smart systems in various domains such as business, finance …

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

Current information technologies generate large amounts of data for management or further
analysis, storing it in NoSQL databases which provide horizontal scaling and high …

In recent years, software applications have been working with NoSQL databases as they
have emerged to handle big data more efficiently than traditional databases. The data …

Document stores have become one of the key NoSQL storage solutions. They have been
widely adopted in different domains due to their ability to store semi-structured data and …

Database schemas evolve over time to satisfy changing application requirements. If this
evolution is not performed correctly, some quality attributes are at risk such as data integrity …

Document stores have gained popularity among NoSQL systems mainly due to the semi-
structured data storage structure and the enhanced query capabilities. The database design …

Currently, the continuous massive growth in the size, variety, and velocity of data is defined
as big data. Relational databases have a limited ability to work with big data. Consequently …