scholarly journals Data Warehouse Technology and Application in Data Centre Design for E-government

Author(s):  
Xuanzi Hu
Keyword(s):  
2011 ◽  
Vol 1 (1) ◽  
Author(s):  
Ritu Punhani ◽  
Alpana Kakkar

The potential that web resources have is yet unharnessed. The colossal information resources of the Web are largely untapped by the Enterprises. Enterprises has not yet seriously considered use of web content as a potential input to the data warehouse, even when the web has been proven to be the universal delivery mechanism for global data. Many researchers have agreed that the paradigm of the Web is radically different than that of the data warehouse. One might also say that web content is highly volatile and diverse and hence harvesting the web to procure the desired information of real business value for an enterprise is like challenging its imagination. As a chaotic and unmanageable influence, the Web can be perceived as a threat to the security and tranquility of the warehouse environment. A stable infrastructure is required. The issue of Integrity and reliability of web content is critical to the requirement of refining information through the processes of discovery, Validation, Acquisition, Design and Formatting, Dissemination, and Information Security. This paper proposes a process model along with architecture to support this methodology within a data centre.


2017 ◽  
Vol 4 (1) ◽  
pp. 62-66
Author(s):  
Luyen Ha Nam

From long, long time ago until nowadays information still takes a serious position for all aspect of life, fromindividual to organization. In ABC company information is somewhat very sensitive, very important. But how wekeep our information safe, well we have many ways to do that: in hard drive, removable disc etc. with otherorganizations they even have data centre to save their information. The objective of information security is to keep information safe from unwanted access. We applied Risk Mitigation Action framework on our data management system and after several months we have a result far better than before we use it: information more secure, quickly detect incidents, improve internal and external collaboration etc.


KURVATEK ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 63-69
Author(s):  
Siti Jamilah Tarigan ◽  
Wing Wahyu Winarno ◽  
Henderi Safei
Keyword(s):  

Pengambilan keputusan dan perencanaan bidang akademik sering kali tidak berdasarkan pada informasi yang lengkap. Jajaran pengambil keputusan (rektorat atau tingkat eksekutif) hanya bisa melihat sebuah data dalam satu dimensi. Pengambil keputusan akan lebih baik jika informasi dapat disajikan dari berbagai dimensi. Perguruan tinggi telah memiliki data operasional yang lengkap dari kegiatan akademik, kepegawaian, dan penerimaan mahasiswa yang telah dikumpulkan lebih dari 4 tahun. Data warehouse adalah suatu koleksi optimasi database untuk mendukung keputusan. Konsep ini mengintegrasikan antara sistem lama dan sistem baru sehingga tidak terjadi duplikasi data. Data yang telah diintegrasikan dapat diolah dalam berbagai bentuk laporan sesuai dengan kebutuhan.Tujuan dari penelitian ini adalah bagaimana data yang ada bisa menghasilkan informasi yang akurat dan multidimensi sehingga pengambilan keputusan lebih cepat dan akurat. Penelitian ini menggunakan analisis data OLAP, dan skema bintang. Kesimpulan dari penelitian ini adalah rancangan yang dihasilkan bisa membantu pihak akademik dalam membuat keputusan berdasarkan data dan informasi yang mulitidimensi.


2016 ◽  
Vol 11 (9) ◽  
pp. 804
Author(s):  
Dion Darmawan ◽  
Chrissandy Fernando ◽  
Andree Gunawan ◽  
Julian Ivandi

2008 ◽  
Vol 31 (4) ◽  
pp. 21 ◽  
Author(s):  
G W Rose ◽  
V R Roth ◽  
K N Suh ◽  
M Taljaard ◽  
C Van Walraven ◽  
...  

Background/Purpose: Surgical site infection surveillance to determineincidence is a key infection control activity. Case detection is labour-intensive, therefore most infection control programs use manual or simple electronic mechanisms to “trigger” chart review. However, such “trigger” mechanisms are also labour-intensive, and often of poor specificity. Our objective is to develop a complex trigger mechanism using data from an electronic data warehouse, to improve specificity of surveillance of surgical site infection compared to current trigger mechanisms. Methods: We will derive an electronic trigger tool for cardiac surgical site infection surveillance using a nested case-control design, among a cohort of all patients undergoing coronary artery bypass grafting, cardiac valve repairor replacement, or heart transplant at the University of Ottawa Heart Institute, from July 1 2004 to June 30 2007. We will perform a systematic literature review to identify potential trigger factors to include in the model, then construct the trigger tool by backwards stepwise logistic regression. The best-fit model will be used to calculate the probability of surgical site infection. We will select the threshold probability to use in surveillance by visual inspection of receiver-operator-characteristic curves. The accuracy of this electronic trigger mechanism will be compared to pre-existing manual and simple electronic mechanisms using relative true positive ratios and relative false positive ratios. Results/Conclusions: We have selected 200 cases of surgical site infection and 541 controls from among 3744 procedures performed during the study period. As of the date ofthis abstract we are still undertaking the systematic review.


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