The work presented in this paper is motivated by the acknowledgement that a complete and
updated systematic literature review (SLR) that consolidates all the research efforts for Big …

Self-tuning is a feature of autonomic databases that includes the problem of automatic
schema design. It aims at providing an optimized schema that increases the overall …

Multi-model DBMSs, which support different data models with a fully integrated backend,
have been shown to be beneficial to data warehouses and OLAP systems. Indeed, they can …

Abstract Multi-model DBMSs (MMDBMSs) have been recently introduced to store and
seamlessly query heterogeneous data (structured, semi-structured, graph-based, etc.) in …

Many research works deal with big data platforms looking forward to data science and
analytics. These are complex and usually distributed environments, composed of several …

Over the last few years, NoSQL systems are gaining strong popularity and a number of
decision makers are using it to implement their warehouses. Building the ETL process is one …

The amount of data has increased exponentially as a consequence of the availability of new
data sources and the advances in data collection and storage. This data explosion was …

NoSQL databases are preferred to relational ones for storing heterogeneous data with
variable schema and structure. However, their schemaless nature adds complexity to …

Geospatial Data Warehouse (GDW) is a repository of historical and geospatial data used in
the decision-making process. This kind of system manages large volumes of data and …

Abstract For many decades, Business Intelligence and Analytics (BI&A) has been associated
with relational databases. In the era of big data and NoSQL stores, it is important to provide …