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An introduction to data warehousing: what are the implications for the network?

Katherine Jones
1998 International Journal of Network Management  
In an ideal world, the analyst could analytical data. ¼ The processing characteristics for the oper-simply query the operational database in a corporation to ascertain the long-term effects of ational  ...  Hence, the development of data warehouses as an and investment criteria. Therefore, it is a subset of the corporate enterprise strategy, along essential-but separate-business entity has emerged.  ...  Target database The database in which data will of additional services. Schema The logical and physical definition of be loaded or inserted.  ... 
doi:10.1002/(sici)1099-1190(199801/02)8:1<42::aid-nem236>;2-m fatcat:xbwdy3zig5ffxjujqgt2lygdbu

Survey On Intelligent Data Repository Using Soft Computing

A. Prema, A.Pethalakshmi
2015 Zenodo  
The Data warehouse is a corporation of all data marts within the enterprise. Information is always accumulated in the dimensional model.  ...  Data warehouse is one of the components of the overall business intelligence system. An enterprise has one data warehouse, and data marts source has their information from the data warehouse.  ...  methodology for the design of a data warehouse can be extended to the construction of a fuzzy data warehouse.  ... 
doi:10.5281/zenodo.32280 fatcat:q2zh46vpofbq5mbojvjtd6zig4

How organisations leverage Big Data: a maturity model

Marco Comuzzi, Anit Patel
2016 Industrial management & data systems  
This paper develops a maturity model to support organisations in the realisation of the value created by Big Data. Design/Methodology/Approach.  ...  The completeness and usefulness of the model are evaluated qualitatively by practitioners, whereas the applicability of the model is evaluated by Big Data maturity assessments in three real world organisations  ...  Big Data becomes increasingly embedded in the corporate strategy (at level 3) until it becomes a strategic imperative for the organisation around which the corporate strategy is defined (level 5).  ... 
doi:10.1108/imds-12-2015-0495 fatcat:qbsgtqrj4fcmtpvbafdkbphlxe

Extraction, Transformation, and Loading [chapter]

Alkis Simitsis, Panos Vassiliadis
2017 Encyclopedia of Database Systems  
place in the back stage of a data warehouse architecture.  ...  that ensure that data fit the target data warehouse schema.  ...  The data from these sources must be propagated to the target data warehouse fact table DW.P ART S, depicted at the bottom right part of the figure.  ... 
doi:10.1007/978-1-4899-7993-3_158-3 fatcat:etto3enuuneind3s3ldeg4s5qy

Data Warehouse as a Generic Approach a Review

Shahid Bashir Dar, As hish Sharma
2015 International Journal of Innovative Research in Computer and Communication Engineering  
These efforts resulted in the development of data warehousing as a solution for data integration and data analytics.  ...  Digitization of data resulted in the generation of massive volumes of data in less time. The heterogeneous and disperse data sources makes the scene more complicated to handle.  ...  The structure of a data mart is to suit the departmental view of data while as, a warehouse provides a corporate view of data. C.  ... 
doi:10.15680/ijircce.2015.0307018 fatcat:hxdhacdlmjd7tay2tgmnle6way


Agung Yudha Berliantara
2017 Journal of Information Technology and Computer Science  
Through this experiment, the Round-robin scheduling method gives a more efficient execution time of up to 61% depending on the amount of data and the number of partitions used.  ...  If it is not handled correctly, it may take a very long time to execute and inconsistent data in very large data.  ...  The idea is to use a different instance of the ETL process to handle any partition data. At the end of the process, the data partition will be merged and loaded to the target recordset.  ... 
doi:10.25126/jitecs.20172232 fatcat:7hc654xl4vaavo5pwjl6xxwf5u

Enterprise modeling and Data Warehousing in Telecom Italia

Diego Calvanese, Luigi Dragone, Daniele Nardi, Riccardo Rosati, Stefano M. Trisolini
2006 Information Systems  
We present a methodology for Data Warehouse design and its application within the TELECOM ITALIA information system.  ...  The methodology is based on a conceptual representation of the Enterprise, which is exploited both in the integration phase of the Warehouse information sources and during the knowledge discovery activity  ...  In such an approach, each table both in a source and in the Data Warehouse is defined in terms of a view over the global model of the corporate data.  ... 
doi:10.1016/ fatcat:qsdcmq6lczht3oghesuuwphbne

Taxonomy based Data Marts

Asiya AbdusSalamQureshi, Syed Muhammad Khalid Jamal
2012 International Journal of Computer Applications  
The aim of this paper is to depict new approach called taxonomy based data marts which add a new layer for the categorization of the queries using data warehouse which is the database that contains data  ...  Data warehouses often adopt a three-tier architecture. The bottom tier is a warehouse database server, which is typically a relational database system.  ...  This gives rise to the need of the data warehousing. Data warehousing technology is the course by which the chronological data of a company is created and utilized.  ... 
doi:10.5120/9750-3582 fatcat:5i7ciwmeyrfprmzcjwr2x2xudm

Using Data Warehouse to Support Building Strategy or Forecast Business Tend [article]

Phuc V. Nguyen
2011 arXiv   pre-print
The data warehousing is becoming increasingly important in terms of strategic decision making through their capacity to integrate heterogeneous data from multiple information sources in a common storage  ...  So it can evolve into a multi-tier structure where parts of the organization take information from the main data warehouse into their own systems.  ...  To improve the performance of the tasks, the company should own a methodology and data warehouse infrastructure: The DW lifecycle shows that we must pay more attention at Design and Prototype steps before  ... 
arXiv:1205.0724v1 fatcat:iazpss5j5ngovcyqzpax4dikbu

Using OLAP with Diseases Registry Warehouse for Clinical Decision Support

Alaa Khalaf Hamoud, Taleb Obaid
2014 Social Science Research Network  
The researchers used with clinical data warehouse to give decision makers on-time results to assist them in support their decisions.  ...  Two database sources used to construct and build data warehouse in order to use OLAP to view multidimensional data.  ...  during the implementation of a data warehouse of outpatient data at the national level.  ... 
doi:10.2139/ssrn.3061597 fatcat:xismmw3tqvgbbhqsjtfrospwxu

Healthcare data warehousing and quality assurance

D.J. Berndt, J.W. Fisher, A.R. Hevner, J. Studnicki
2001 Computer  
Acknowledgments We thank the US Department of Commerce for providing us with funding through a Technology Opportunities Program grant. The Florida Department of Health has been a research partner.  ...  We also thank Oracle Corporation for making its state-of-the-art development tools available through the Oracle Academic Initiative.  ...  A data warehouse provides a digital representation of the "real world" as it exists at discrete points in time.  ... 
doi:10.1109/2.970578 fatcat:tqvdjsphfzbo7hekmnzmcgt3mi

Exploiting Textured 3D Models for Developing Serious Games

G. Kontogianni, A. Georgopoulos
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The Unity 3D<sup>®</sup> game developing environment was used for creating this application, in which all these models were inserted in the same file format.  ...  Digital technologies have affected significantly many fields of computer graphics such as Games and especially the field of the Serious Games.  ...  Section 3 presents the methodology which is implemented, a description of the available data used for the application development, the Game engine that was used, and the integration of the data and how  ... 
doi:10.5194/isprsarchives-xl-5-w7-249-2015 fatcat:atjrmqt7ujh2debziaratsw5c4

Alliance Rules- based Algorithm on Detecting Duplicate Entry Email

Arif Hanafi, Sulaiman Harun, Sofika Enggari, Larissa Navia Rani
2021 UPI YPTK Journal of Computer Scine and Information Technology  
In this way there is vast of email in data warehouse. Data cleaning is an activity performed on the data sets of data warehouse to upgrade and keep up the quality and consistency of the data.  ...  It provides an algorithm to the discovery of error and duplicates entries in the data sets of existing data warehouse.  ...  In order to achieve high quality data mining, it is necessary to conduct data cleaning at the first step [2, 3] .  ... 
doi:10.35134/jcsitech.v7i2.7 fatcat:sw5zyu23ifhf7brpnfmhzm6s7e

Pepsiamericas: Building an Information Savvy Company

Cynthia Mathis Beath, Jeanne W. Ross
2010 Social Science Research Network  
Abstract: In 2009 PepsiAmericas was learning how to leverage an information backbone designed to provide information to the firm's decision makers at all levels of the organization.  ...  Case Study: an in-depth description of a firm's approach to an IT management issue (intended for MBA and executive education).  ...  At large warehouse locations, checking out 100+ trucks in the morning could take hours.  ... 
doi:10.2139/ssrn.1979792 fatcat:f4r64yxvvvfmbcxu4ttf6orgkq

Empirical Study on Dynamic Warehousing

C K Bhensdadia, Yogeshwar P Kosta
2010 Journal of clean energy technologies  
In large enterprises, huge amounts of data are generated and consumed, and only substantial fractions of the data change rapidly.  ...  The decision making process in traditional data warehouse environments is often delayed because data cannot be propagated from the source system to the data warehouse in time.  ...  Finally, our acknowledgement can not end without thanking to the authors whose research papers helped us in making this research.  ... 
doi:10.7763/ijcte.2010.v2.237 fatcat:a7yuqjf5lrh5vozbxyvniltqmy
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