This paper provides an answer-oriented multidimensional analysis environment. The approach is based on a conceptual point of view. We define a conceptual model that represents data through a constellation of facts and dimensions and we present a query algebra handling multidimensional data as well as multidimensional tables. Based on these two propositions, in order to ease the specification of...

Abstract While the environmental monitoring department increases number of points and frequency monitoring, it will also bring about a surge in amount data computational response events. However, traditional statistics methods based on relational databases are ineffective face huge data. Aiming at ambient air quality analysis, this paper uses Hadoop, Hive, Kylin, other tools to build multi-dime...

The Photovoltaic (PV) Performance Modeling Collaborative (PVPMC) organized a blind PV performance modeling intercomparison to allow modelers blindly test their models and ability against real system data. Measured weather irradiance data were provided along with detailed descriptions of systems from two locations (Albuquerque, New Mexico, USA, Roskilde, Denmark). Participants asked simulate the...

Multidimensional analysis and online analytical processing (OLAP) operations require summary information on multidimensional data sets. Most common are aggregate operations along one or more dimensions of numerical data values. Simultaneous calculation of multidimensional aggregates are provided by the Data Cube operator, used to calculate and store summary information on a number of dimensions...