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Requirements Engineering for a User Centric Spatial Data Warehouse
2014
International Journal of Open Problems in Computer Science and Mathematics
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Spatial data warehouses (SDW) are used for executing analytical multidimensional queries along with spatial analysis. ...
We have also given a framework of activities for collecting data from information sources and organizing it in a geo-spatial data store for querying data and visualizing results. ...
Besides, drill across, it also supports drill through capability to allow users to query the base data cube to access low-level data stored in databases. j. ...
doi:10.12816/0007253
fatcat:e7s4ry453jalbft4yampggrjeu
Data mining: concepts and techniques
2012
ChoiceReviews
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Data Warehouse: Mostly read only queries, operate on HUGE volumes of data, queries are quite complex. 3 Main reasons: 1. ...
Thus, Solution is to have a separate database system which supports primitives and structures suitable to store, access and process OLAP specific data ... in short...have a data warehouse. ...
is a Set of Views over operational databases
For efficient query processing, only some of the
possible summary views may be materialized
It is easy to build but requires excess capacity on
operational ...
doi:10.5860/choice.49-3305
fatcat:tmksf6eodvaspcsun6sj3a5fba
Collaborative Business Intelligence
[chapter]
2012
Lecture Notes in Business Information Processing
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The idea of collaborative BI is to extend the decision-making process beyond the company boundaries thanks to cooperation and data sharing with other companies and organizations. ...
Data warehouse integration is an enabling technique for collaborative BI, and has been investigated along three main directions: warehousing approaches, where the integrated data are physically materialized ...
the component data warehouses, aimed at increasing querying efficiency. ...
doi:10.1007/978-3-642-27358-2_9
fatcat:dcxgdkaz2rdm7edfac5tcjrc4i
Simulations of Hadoop/MapReduce-Based Platform to Support its Usability of Big Data Analytics in Healthcare
2018
Athens Journal of Τechnology & Engineering
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Inconsistencies of MapReduce limited the capacity to generate/replicate data to HBase efficiently. ...
Our platform is important to lead discovery of useful big data technologies across multiple hospital systems. ...
Once the data form distributed HBase data sets across working nodes, it was queried via Apache Phoenix, Spark and Drill only thru PBS held by WestGrid. ...
doi:10.30958/ajte.5-3-1
fatcat:ms27xgx2prfbziyiwpnuhpn64m
Interactive Big Data Analytics Platform for Healthcare and Clinical Services
2018
Global Journal of Engineering Sciences
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The next step of the testing of the BDA platform will be to distribute and index the data to ten billion patient data rows across the database nodes, and then test the performance using the established ...
Afterwards, the study plan is to distribute the data across 100 nodes; Hadoop's HDFS and HBase are theoretically supposed to scale and function better with more nodes [14, 15] . ...
it solves the limitations of the relational data warehouse by continuously running with low resources over multiple nodes. ...
doi:10.33552/gjes.2018.01.000502
fatcat:biiz2qnx4vckrcrmv4gcn5ydru
Design and Development of a Tool for Integrating Heterogeneous Data Warehouses
[chapter]
2005
Lecture Notes in Computer Science
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The first approach refers to a scenario of loosely coupled integration, in which we just need to identify the common information between sources and perform drill-across queries over them. ...
In this paper we describe the design of a tool supporting the integration of independently developed data warehouses, a problem that arises in several common scenarios. ...
We have then presented a practical tool that implements the various techniques and can be effectively used to perform drill-across queries between heterogeneous data warehouses. ...
doi:10.1007/11546849_11
fatcat:6rnbtc5j3fct7pjx2z77rfue3a
Benchmarking Spatial Data Warehouses
[chapter]
2010
Lecture Notes in Computer Science
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Indices and materialized views are used to provide efficient query processing over SDW, and the requirements to evaluate their efficiency are datasets with different characteristics of data volume, data ...
Several techniques to improve the query processing performance over SDW have been proposed in the literature. ...
the conventional data volume, the shorter the elapsed time to process the queries over the hybrid schema. ...
doi:10.1007/978-3-642-15105-7_4
fatcat:qkkaesenhfa2jgqvuqt7jrqxxi
Visual Specification of Multidimensional Queries Based on a Semantic Data Model
[chapter]
2002
Vom Data Warehouse zum Corporate Knowledge Center
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In addition to standard static reporting, major benefits of these tools include dynamic data navigation (drill-down, drill-up, drill-anywhere...) and ad-hoc querying. ...
Multidimensional data analysis of online analytical processing (OLAP) tools has become an essential part of modern decision support systems. ...
Data warehouse systems enable efficient access to data from multiple heterogeneous data sources by storing the integrated data redundantly in an independent data store (data warehouse). ...
doi:10.1007/978-3-642-57491-7_22
fatcat:xqnxocvxhvbshdtydil4nelbjm
Logical Data Integration Model for the Integration of Data Repositories
2018
International Journal of Database Theory and Application
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Enterprises are spending huge amounts for establishing data warehouses while as the data of interest increases gradually [Harmeek Bedi]. ...
Over the years enterprises have accumulated numerous data sources along with legacy repositories which have variant data, schema and context and their integration is increasingly difficult. ...
The data should be accessible at detailed atomic levels by drilling down or at summarized levels by drilling up. The data marts are the sub sets of the data warehouse. ...
doi:10.14257/ijdta.2018.11.1.03
fatcat:jp2fmbs6ybe4jd3xyqe5rmiagm
The Catch data warehouse: support for community health care decision-making
2003
Decision Support Systems
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Illustrations of actual data designs and reporting formats from the CATCH data warehouse are used throughout the discussion. ...
The data warehouse allows a core set of reports to be produced at a reasonable cost for community use. ...
Department of Commerce, which has provided funding through a Technology ...
doi:10.1016/s0167-9236(02)00114-8
fatcat:dp7hehsikbgzbd3aj2rek3m3rm
Support for Concept Hierarchies in DHTs
2008
2008 Eighth International Conference on Peer-to-Peer Computing
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In this paper, we describe a method for efficiently storing and querying data organized into concept hierarchies and dispersed over a DHT. ...
Concept hierarchies greatly help in the organization and reuse of information and are widely used in a variety of applications, such as data warehouses. ...
Instead of a centralized data warehouse, the management prefers a horizontal partitioning of the database (according to some metric, e.g., geographically) so that they can perform on-line queries on the ...
doi:10.1109/p2p.2008.26
dblp:conf/p2p/AsikiDTK08
fatcat:ykubqd7kxfe5nkfvl3ncr7f24q
Spatial Datawarehousing
[chapter]
2017
Encyclopedia of Database Systems
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In the case of Web data warehouses, there have been repeated efforts to develop new data models for the Web that retain its topological structure and support efficient querying that goes beyond the keyword ...
Geographical information systems (GIS) and data warehousing share the common interest to analyze data and to facilitate decision-making processes. ...
The data model on the activity-level has, of course, some common dimensions with the process-level data model. These common dimensions can be used for drill-across operations. ...
doi:10.1007/978-1-4899-7993-3_80810-1
fatcat:7yo63qvmhfadzn5vwn2x7bizku
Dynamic Data Mart for Business Intelligence
[chapter]
2015
IFIP Advances in Information and Communication Technology
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There is always the problem of running complex (aggregate) queries on complex data. Also efficient execution of SQL queries is limited when drilling down in a data warehouse based on these models. ...
Many of the designs arise from the data mining On-Line Analytical Processing (OLAP) areas. Most of them concentrate on efficiency in query processing and data access rather than data semantics. ...
doi:10.1007/978-3-319-25261-2_5
fatcat:urtp2c3xtrbphkfhyx7ljymjxq
Open Spatiotemporal Data Warehouse for Agriculture Production Analytics
2020
International Journal of Intelligent Engineering and Systems
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In the last decade, the advancement of the Web 2.0 technology is improving the accessibility of web of data across the cloud. ...
This paper proposed the development of a spatiotemporal data warehouse with an integration process using service-oriented architecture and open data sources. ...
Acknowledgments This research is part of a thesis research in University Teknikal Malaysia Melaka. ...
doi:10.22266/ijies2020.1231.37
fatcat:z4hotoqtcbbyre2p3omccgjcmm
A Map-Reduce-enabled SOLAP cube for large-scale remotely sensed data aggregation
2014
Computers & Geosciences
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The novel model implements Roll-Up/Drill-Across operations in the SOLAP environment based on Map-Reduce, a popular data-intensive computing paradigm, and improves the throughput and scalability of raster ...
Therefore, the long time-series, wide-range and multi-view analysis of remotely sensed data can be processed in a short time. ...
The real-time gridding of AIRS data implemented over M-R shows its considerable efficiency (Golpayegani and Halem, 2009 ). ...
doi:10.1016/j.cageo.2014.05.008
fatcat:csf2dmx6hvf6fcabcnwpz27vz4
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