Cloud computing is a powerful technology to perform massive-scale and complex
computing. It eliminates the need to maintain expensive computing hardware, dedicated …

Attributed graphs are becoming important tools for modeling information networks, such as
the Web and various social networks (eg Facebook, LinkedIn, Twitter). However, it is …

Dashboards are vital in modern business intelligence tools, providing non-technical users
with an interface to access comprehensive business data. With the rise of cloud technology …

The huge amount of data generated, the speed at which it is produced, and its heterogeneity
in terms of format, represent a challenge to the current storage, process and analysis …

Data management is becoming an increasingly important component of analytics in the age
of BigData. Because of the data generated by the number of companies is increasing in …

Multidimensional arrays are a fundamental abstraction to represent data across scientific
domains ranging from astronomy to genetics, medicine, business intelligence, and …

Big Data Systems (Hadoop, DBMSs) require a complicated setup and tuning to store and
process big data on a parallel cluster. This is mainly due to static partitioning when data sets …

Graph OLAP is a technology that generates aggregates or summaries of a large-scale graph
based on the properties (or dimensions) associated with its nodes and edges, and in turn …

Data analytics over normalized databases typically requires computing and materializing
expensive joins (wide-tables). Factorized query execution models execution as message …

A data cube is a powerful analytical tool that stores all aggregate values over a set of
dimensions. It provides users with a simple and efficient means of performing complex data …