International Journal of Data Warehousing and Mining
This article describes how the evaluation of modern data warehouses considers new solutions adopt... more This article describes how the evaluation of modern data warehouses considers new solutions adopted for facing the radical changes caused by the necessity of reducing the storage volume, while increasing the velocity in multidimensional design and data elaboration, even in presence of unstructured data that are useful for providing qualitative information. The aim is to set up a framework for the evaluation of the physical and methodological characteristics of a data warehouse, realized by considering the factors that affect the data warehouse's lifecycle when taking into account the Big Data issues (Volume, Velocity, Variety, Value, and Veracity). The contribution is the definition of a set of criteria for classifying Big Data Warehouses on the basis of their methodological characteristics. Based on these criteria, the authors defined a set of metrics for measuring the quality of Big Data Warehouses in reference to the design specifications. They show through a case study how t...
Big Data warehouses are a new class of databases that largely use unstructured and volatile data ... more Big Data warehouses are a new class of databases that largely use unstructured and volatile data for analytical purpose. Examples of this kind of data sources are those coming from the Web, such as social networks and blogs, or from sensor networks, where huge amounts of data may be available only for short intervals of time. In order to manage massive data sources, a strategy must be adopted to define multidimensional schemas in presence of fast-changing situations or even undefined business requirements. In the paper, we propose a design methodology that adopts agile and automatic approaches, in order to reduce the time necessary to integrate new data sources and to include new business requirements on the fly. The data are immediately available for analyses, since the underlying architecture is based on a virtual data warehouse that does not require the importing phase. Examples of application of the methodology are presented along the paper in order to show the validity of this ...
There are several benefits that can be reached by developing an academic data warehouse as provid... more There are several benefits that can be reached by developing an academic data warehouse as providing a centralized source of information accessible across different academic units to quickly analyze problems and get satisfactory solutions, supplying the data necessary for developing the Institution's strategic plan, and enabling administrator to make better business decisions based on historical data available in legacy databases.
The standard benchmark for Decision Support Systems is TPC-H, which is composed of a database, a ... more The standard benchmark for Decision Support Systems is TPC-H, which is composed of a database, a workload, and a set of metrics for the performance evaluation. However, TPC-H does not include a methodology for the benchmark of Approximate Query Answering Systems, or the software tools used to obtain fast answers to analytical queries in the decision making process. In the paper, the authors present a methodology to evaluate and compare Approximate Query Answering Systems. To this aim, a methodology that extends the standard TPC-H and a set of new metrics that take into account the specific features of these systems are proposed. Experimental results show the application of these metrics to two systems based on the data analytic approximation by orthonormal series.
... From the technological view-point, services are required for aggregate data management, query... more ... From the technological view-point, services are required for aggregate data management, query optimization, indexing structures and user-friendly interfaces. Customer's needs about the TPFbooking and TPF 120 booking components and about reporting are exemplified in ...
Http Dx Doi Org 10 1080 01969728008960230, Oct 22, 2007
In studying the problem of interaction between subjects, an approach which allows us to define in... more In studying the problem of interaction between subjects, an approach which allows us to define in an unambiguous way the concepts of symmetrical, complementary and parallel interaction is proposed. This approach makes use of a point of view within which it is possible to develop a rational model based only on some fundamental elements of set theory and mathematical logicThe
Abstract A challenge in the recommender systems currently available for the tourism domain is how... more Abstract A challenge in the recommender systems currently available for the tourism domain is how to suggest tourist itineraries in a specific geographical area (city or region). The proposed theoretical model allows items of intangible cultural heritage (events) such as ...
Proceedings of 7th International Conference and Workshop on Database and Expert Systems Applications: DEXA 96, 1996
Page 1. A Research Activity Su port System for the Italian Cultural Heritage Carlo dell'Aqui... more Page 1. A Research Activity Su port System for the Italian Cultural Heritage Carlo dell'Aquila, Filippo Tangorra DIB - Dipartimento di Informatica, Universita di Bari Via E. Orabona, 4 - 1-70126 Bari - Italy e-mail: Tangorra@gauss.uniba.it ...
International Journal of Data Warehousing and Mining
This article describes how the evaluation of modern data warehouses considers new solutions adopt... more This article describes how the evaluation of modern data warehouses considers new solutions adopted for facing the radical changes caused by the necessity of reducing the storage volume, while increasing the velocity in multidimensional design and data elaboration, even in presence of unstructured data that are useful for providing qualitative information. The aim is to set up a framework for the evaluation of the physical and methodological characteristics of a data warehouse, realized by considering the factors that affect the data warehouse's lifecycle when taking into account the Big Data issues (Volume, Velocity, Variety, Value, and Veracity). The contribution is the definition of a set of criteria for classifying Big Data Warehouses on the basis of their methodological characteristics. Based on these criteria, the authors defined a set of metrics for measuring the quality of Big Data Warehouses in reference to the design specifications. They show through a case study how t...
Big Data warehouses are a new class of databases that largely use unstructured and volatile data ... more Big Data warehouses are a new class of databases that largely use unstructured and volatile data for analytical purpose. Examples of this kind of data sources are those coming from the Web, such as social networks and blogs, or from sensor networks, where huge amounts of data may be available only for short intervals of time. In order to manage massive data sources, a strategy must be adopted to define multidimensional schemas in presence of fast-changing situations or even undefined business requirements. In the paper, we propose a design methodology that adopts agile and automatic approaches, in order to reduce the time necessary to integrate new data sources and to include new business requirements on the fly. The data are immediately available for analyses, since the underlying architecture is based on a virtual data warehouse that does not require the importing phase. Examples of application of the methodology are presented along the paper in order to show the validity of this ...
There are several benefits that can be reached by developing an academic data warehouse as provid... more There are several benefits that can be reached by developing an academic data warehouse as providing a centralized source of information accessible across different academic units to quickly analyze problems and get satisfactory solutions, supplying the data necessary for developing the Institution's strategic plan, and enabling administrator to make better business decisions based on historical data available in legacy databases.
The standard benchmark for Decision Support Systems is TPC-H, which is composed of a database, a ... more The standard benchmark for Decision Support Systems is TPC-H, which is composed of a database, a workload, and a set of metrics for the performance evaluation. However, TPC-H does not include a methodology for the benchmark of Approximate Query Answering Systems, or the software tools used to obtain fast answers to analytical queries in the decision making process. In the paper, the authors present a methodology to evaluate and compare Approximate Query Answering Systems. To this aim, a methodology that extends the standard TPC-H and a set of new metrics that take into account the specific features of these systems are proposed. Experimental results show the application of these metrics to two systems based on the data analytic approximation by orthonormal series.
... From the technological view-point, services are required for aggregate data management, query... more ... From the technological view-point, services are required for aggregate data management, query optimization, indexing structures and user-friendly interfaces. Customer's needs about the TPFbooking and TPF 120 booking components and about reporting are exemplified in ...
Http Dx Doi Org 10 1080 01969728008960230, Oct 22, 2007
In studying the problem of interaction between subjects, an approach which allows us to define in... more In studying the problem of interaction between subjects, an approach which allows us to define in an unambiguous way the concepts of symmetrical, complementary and parallel interaction is proposed. This approach makes use of a point of view within which it is possible to develop a rational model based only on some fundamental elements of set theory and mathematical logicThe
Abstract A challenge in the recommender systems currently available for the tourism domain is how... more Abstract A challenge in the recommender systems currently available for the tourism domain is how to suggest tourist itineraries in a specific geographical area (city or region). The proposed theoretical model allows items of intangible cultural heritage (events) such as ...
Proceedings of 7th International Conference and Workshop on Database and Expert Systems Applications: DEXA 96, 1996
Page 1. A Research Activity Su port System for the Italian Cultural Heritage Carlo dell'Aqui... more Page 1. A Research Activity Su port System for the Italian Cultural Heritage Carlo dell'Aquila, Filippo Tangorra DIB - Dipartimento di Informatica, Universita di Bari Via E. Orabona, 4 - 1-70126 Bari - Italy e-mail: Tangorra@gauss.uniba.it ...
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Papers by Filippo Tangorra