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Journal ArticleDOI

OLAP query reformulation in peer-to-peer data warehousing

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TLDR
A peer-to-peer data warehousing architecture based on a network of heterogeneous peers, each exposing query answering functionalities aimed at sharing business information is envisioned, and a query reformulation framework that relies on the translation of mappings, queries, and multidimensional schemata onto the relational level is introduced.
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This article is published in Information Systems.The article was published on 2012-07-01. It has received 50 citations till now. The article focuses on the topics: Online analytical processing & Data warehouse.

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Citations
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Journal ArticleDOI

Fusion Cubes: Towards Self-Service Business Intelligence

TL;DR: The underlying core idea is the notion of fusion cubes, i.e., multidimensional cubes that can be dynamically extended both in their schema and their instances, and in which situational data and metadata are associated with quality and provenance annotations.
Journal ArticleDOI

The impact model of business intelligence on decision support and organizational benefits

TL;DR: A quantitative survey-based study to represent the relationship between BI capabilities, decision support benefits, and organizational benefits in context of decision environment using the partial least squares technique.
Book ChapterDOI

From Star Schemas to Big Data: 20+ Years of Data Warehouse Research

TL;DR: More than 20 years of research on data warehouse systems are surveyed, from their early relational implementations (still widely adopted in corporate environments), to the new architectures solicited by Business Intelligence 2.0 scenarios during the last decade, and up to the exciting challenges now posed by the integration with big data settings.
Journal ArticleDOI

A requirement-driven approach to the design and evolution of data warehouses

TL;DR: This paper presents a semi-automatic method, called ORE, for creating DW designs in an iterative fashion based on a given set of information requirements, which builds the unified MD schema that satisfies the entire set of requirements and meet some predefined quality objectives.

Automated Integration of Heterogeneous Data Warehouse Schemas.

TL;DR: In this paper, the authors present a procedure that enables the matching process for schema structures specific to the multidimensional model of data warehouses: facts, measures, dimensions, aggregation levels and dimensional attributes.
References
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Proceedings ArticleDOI

Data integration: a theoretical perspective

TL;DR: The tutorial is focused on some of the theoretical issues that are relevant for data integration: modeling a data integration application, processing queries in data integration, dealing with inconsistent data sources, and reasoning on queries.
Journal ArticleDOI

Data cube: a relational aggregation operator generalizing GROUP-BY, CROSS-TAB, and SUB-TOTALS

TL;DR: The data cube operator as discussed by the authors generalizes the histogram, cross-tabulation, roll-up, drill-down, and sub-total constructs found in most report writers.
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Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals

TL;DR: The cube operator as discussed by the authors generalizes the histogram, cross-tabulation, roll-up, drill-down, and sub-total constructs found in most report writers, and treats each of the N aggregation attributes as a dimension of N-space.
Journal ArticleDOI

Answering queries using views: A survey

TL;DR: The state of the art on the problem of answering queries using views is surveyed, the algorithms proposed to solve it are described, and the disparate works into a coherent framework are synthesized.
Book ChapterDOI

Data Exchange: Semantics and Query Answering

TL;DR: The notion of "certain answers" in indefinite databases for the semantics for query answering in data exchange is adopted and the computational complexity of computing the certain answers in this context is investigated.
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