Publication Date:
2015
abstract:
Due to the emerging Big Data paradigm traditional data management
techniques result inadequate in many real life scenarios. In particular, OLAP techniques
require substantial changes in order to offer useful analysis due to huge
amount of data to be analyzed and their velocity and variety. In this paper, we describe
an approach for dynamic Big Data searching that based on data collected
by a suitable storage system, enrich data in order to guide users through data
exploration in a efficient and effective way.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Big Data Warehousing
List of contributors: