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 …

In order to speed-up query processing in the context of Data Warehouse Systems, auxiliary
summaries, such as materialized views and calculated attributes, are built on top of the data …

In this paper different special data management schemes pointing urban data environment
are reviewed. The approach and the theory of Spatial Data Warehousing (SDW) pointing the …

Complex utilities such as power distribution, nuclear reactors or large water networks
employ multiple data sources to provide key information regarding asset performance and …

In this paper, we investigate the problem of providing scalability (out and in) to extraction
transformation load (ETL) and querying (Q)(ETL+ Q) process of data warehouses. In …

This work proposes an approach for alert raising within a real-time data warehouse
environment. It is based on the calculation of confidence intervals for measures from …

Big data platforms strive to achieve scalability and realtime for query processing and
complex analytics over “big” and/or “fast” data. In this context, big data warehouses are huge …

Most data-warehouse deployments are not prepared to scale automatically, although some
applications have large or increasing requirements concerning data volume, processing …

By increasing the speed of data generation, need to process, store and analyze of Big Data
becomes increasing. Related work has been done to create real-time data warehouse, but …

With the need for flexible and on-demand decision support, Dynamic Data Warehouses
(DDW) provide benefits over traditional data warehouses due to their dynamic …