In this paper, we report on our ongoing work in which we formalize MongoDB, a widely adopted document database system managing complex (tree structured) values represented in a JSON-based data model, equipped with a powerful query mechanism. We study the expressiveness of the MongoDB query language, showing its equivalence with nested relational algebra, and we investigate the computational com...

Over the years, NoSQL Database Management Systems (DBMS) have been adopted as an alternative to the constraints of relational/SQL DBMSs. In order to demonstrate their feasibility, works have evaluated NoSQL DBMSs regarding some performance metrics, but energy consumption has not been assessed. Indeed, energy consumption is an issue that should not be neglected due to the rise of energy costs an...

The process of moving data from a source database to destination is known as migration. For variety reasons, including higher handling capacity, improved speed, and scalability, many businesses are choosing convert their databases one kind (e.g., RDBMS) another NoSQL). Sqoop [3], mongoimport [2], mongify [1] few techniques technologies that have been developed help with this transition RDBMS No...

A significant number of database architectures and data models have been proposed during the last decade. While some of these new systems have gained in popularity, their formal semantics are generally still missing. In this paper, we consider the symptomatic case of MongoDB, a widely adopted document database, in which roughly speaking relational tables correspond to collections, and tuples to...

In the recent years, Big Data has become ubiquitous and various big data tools are greatly in use to accelerate the computing and analytics in various fields. Various algorithms in Computer Science use large and heterogeneous data sets; and hence could be explored with Big Data platforms. One such class of algorithms is stream clustering algorithms; dealing with large scale processing of increm...

Ontology-based data access (OBDA) has gained attention in recent years for providing access to large volumes of data by using ontologies as a conceptual layer and exploring their ability to describe domains and deal with data incompleteness. This is done through mappings that connect the data in the database to the vocabulary of the ontology. The first OBDA studies were about data stored in rel...

A significant number of database architectures and data models have been proposed during the last decade. While some of these new systems have gained in popularity, their formal semantics are generally still missing. In this paper, we consider the symptomatic case of MongoDB, a widely adopted document database, in which roughly speaking relational tables correspond to collections, and tuples to...

The recent great technological advance has led to a broad proliferation of Monitoring Infrastructures, which typically keep track specific assets along time, ranging from factory machinery, device location, or even people. Gathering this data become crucial for wide number applications, like exploration dashboards Machine Learning techniques, such as Anomaly Detection. Time-Series Databases, de...