Browsing by Author "Romero Moral, Óscar"
Now showing items 21-40 of 87
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Configuring parallelism for hybrid layouts using multi-objective optimization
(2020-06-01)
Article
Open AccessModern organizations typically store their data in a raw format in data lakes. These data are then processed and usually stored under hybrid layouts, because they allow projection and selection operations. Thus, they allow ... -
Data engineering for data science: two sides of the same coin
(Springer, 2020)
Conference report
Open AccessA de facto technological standard of data science is based on notebooks (e.g., Jupyter), which provide an integrated environment to execute data workflows in different languages. However, from a data engineering point of ... -
Dimensional enrichment of statistical linked open data
(2016-10-01)
Article
Open AccessOn-Line Analytical Processing (OLAP) is a data analysis technique typically used for local and well-prepared data. However, initiatives like Open Data and Open Government bring new and publicly available data on the web ... -
Discovering functional dependencies from ontologies
(2009-04)
Research report
Open AccessDiscovering functional dependencies is a fundamental step in the design of relational databases and in most system reengineering processes, such as system maintainability and redesign. Typically, this task has been performed ... -
Discovering functional dependencies from ontologies
(Association for Computing Machinery (ACM), 2009)
Conference report
Restricted access - publisher's policyNowadays, it is widely accepted that the data warehouse design task should be largely automated. Furthermore, the data warehouse conceptual schema must be structured according to the multidimensional model and as a ... -
Discovering meaningful keys from ontologies
(2009-07)
Research report
Open AccessObject identification is a crucial step in most information systems. Nowadays, we have many different ways to identify entities such as surrogates, keys and object identifiers. However, not all of them guarantee the entity ... -
Distributed databases
(Universitat Politècnica de Catalunya, 2012)
Lecture notes
Open Access -
DS-Prox : dataset proximity mining for governing the data lake
(Springer, 2017)
Conference report
Open AccessWith the arrival of Data Lakes (DL) there is an increasing need for efficient dataset classification to support data analysis and information retrieval. Our goal is to use meta-features describing datasets to detect whether ... -
DSS from an RE perspective: A systematic mapping
(2016-07)
Article
Open AccessDecision support systems (DSS) provide a unified analytical view of business data to better support decision-making processes. Such systems have shown a high level of user satisfaction and return on investment. However, ... -
E-assessment of relational database skills by means of LearnSQL
(International Association of Technology, Education and Development (IATED), 2017)
Conference report
Open AccessLearnSQL is a software system that allows the automatic and efficient e-learning and e-assessment of relational database skills. It has been used at the Barcelona School of Informatics for 18 semesters with an average of ... -
Effective and scalable data discovery with NextiaJD
(OpenProceedings, 2021)
Conference lecture
Open AccessWe present NextiaJD, a data discovery system with high predictive performance and computational efficiency. NextiaJD aids data scientists in the discovery of datasets that can be crossed. To that end, it proposes a ranking ... -
GEM: requirement-driven generation of ETL and multidimensional conceptual designs
(2010-10-21)
Research report
Open AccessAt the early stages of a data warehouse design project, the main objective is to collect the business requirements and needs, and translate them into an appropriate conceptual, multidimensional design. Typically, this ... -
Graph BI & analytics: current state and future challenges
(Springer, 2018)
Conference report
Open AccessIn an increasingly competitive market, making well-informed decisions requires the analysis of a wide range of heterogeneous, large and complex data. This paper focuses on the emerging field of graph warehousing. Graphs ... -
Graph-driven federated data management
(2023-01-01)
Article
Open AccessModern data analysis applications, require the ability to provide on-demand integration of data sources while offering a flexible and user-friendly query interface. Traditional techniques for answering queries using views, ... -
Graph-driven federated data management (extended abstract)
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Conference report
Open AccessModern data analysis applications require the ability to provide on-demand integration of data sources while offering a user-friendly query interface. Traditional methods for answering queries using views, focused on a ... -
H-word: Supporting job scheduling in Hadoop with workload-driven data redistribution
(2016)
Conference report
Open AccessToday’s distributed data processing systems typically follow a query shipping approach and exploit data locality for reducing network traffic. In such systems the distribution of data over the cluster resources plays a ... -
HealthMesh: An architectural framework for federated healthcare data management
(CEUR-WS.org, 2024)
Conference report
Open AccessRecently, significant milestones have been achieved in the field of healthcare data analysis. However, alongside these accomplishments, substantial data-related challenges have emerged in the domain of big data management. ... -
High-level ETL for semantic data warehouses
(2022)
Article
Open AccessThe popularity of the Semantic Web (SW) encourages organizations to organize and publish semantic data using the RDF model. This growth poses new requirements to Business Intelligence (BI) technologies to enable On-Line ... -
Incremental consolidation of data-intensive multi-flows
(2016-05-01)
Article
Open AccessBusiness intelligence (BI) systems depend on efficient integration of disparate and often heterogeneous data. The integration of data is governed by data-intensive flows and is driven by a set of information requirements. ... -
Incremental schema integration for data wrangling via knowledge graphs
(2024-05-14)
Article
Open AccessVirtual data integration is the current approach to go for data wrangling in data-driven decision-making. In this paper, we focus on automating schema integration, which extracts a homogenised representation of the data ...
