Data Warehouses are the core of the modern systems for decision making. They store
integrated information extracted from various and heterogeneous data sources, making it …

NoSQL systems have gained their popularity for many reasons, including the flexibility they
provide in organizing data, as they relax the rigidity provided by the relational model and by …

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 …

Driven by the ever-growing of data from social network (SN), data warehouse (DW)
approaches must be adapted. Generally the star, snowflake or constellation models are …

Abstract In the Big Data warehouse context, a column-oriented NoSQL database system is
considered as the storage model which is highly adapted to data warehouses and online …

Within the Big Data trend, there is an increasing interest in Not-only-SQL systems (NoSQL).
These systems are promising candidates for implementing data warehouses particularly due …

Hive has long been one of the industry-leading systems for Data Warehousing in Big Data
contexts, mainly organizing data into databases, tables, partitions and buckets, stored on top …

The column-oriented NoSQL systems propose a flexible and highly denormalized data
schema that facilitates data warehouse scalability. However, the implementation process of …