Recently, a great deal of interest for Big Data has risen, mainly driven from a widespread
number of research problems strongly related to real-life applications and systems, such as …

In this paper, the Big Data challenges and the processing is analyzed, recently great
attention has been paid to the challenges for great data, largely due to the wide spread of …

In this paper, we highlight open problems and actual research trends in the field of Data
Warehousing and OLAP over Big Data, an emerging term in Data Warehousing and OLAP …

In this paper, we investigate solutions relying on data partitioning schemes for parallel
building of OLAP data cubes, suitable to novel Big Data environments, and we propose the …

Cloud providers offer storage as a service to the data owners to store emails and files on the
cloud server. However, sensitive data should be encrypted before storing on the cloud …

Social influence is a phenomenon describing the spread of opinions across the population.
Nowadays, social influence analysis (SIA) has a great impact. For example, viral marketing …

Parallel DBMSs have become more and more mature and getting several success stories in
the industry. This situation has been reached by powerful data partitioning and data …

Data warehousing and OLAP over Big Data is becoming one of the emergent challenges for
next-generation research, with special emphasis on data-intensive cloud infrastructures. As …

This paper proposes and experimentally assesses a rewrite/merge approach for supporting
real-time data warehousing via lightweight data integration. Real-time data warehouses are …

As one of the most popular parallel data processing models, data analysis system
MapReduce has been widely used in many fields. Task scheduling is the core module in …