Business Data Warehouse

2011 ◽  
pp. 244-257
Author(s):  
Indranil Bose ◽  
Lam A.K. Chun ◽  
Leung V.W. Yue ◽  
Li H.W. Ines ◽  
Wong O.L. Helen
Keyword(s):  
Information Technology ◽  
Data Warehouse ◽  
Developmental Process ◽  
Recent Advances ◽  
Operational Systems ◽  
Business Data

The retailing giant Wal-Mart owes its success to the efficient use of information technology in its operations. One of the noteworthy advances made by Wal-Mart is the development of the data warehouse which gives the company a strategic advantage over its competitors. In this chapter, the planning and implementation of the Wal-Mart data warehouse is described and its integration with the operational systems is discussed. The chapter also highlights some of the problems encountered in the developmental process of the data warehouse. The implications of the recent advances in technologies such as RFID, which is likely to play an important role in the Wal-Mart data warehouse in future, is also detailed in this chapter.

Business Data Warehouse

2008 ◽  
pp. 2762-2771
Author(s):  
Indranil Bose ◽  
Lam Albert Kar Chun ◽  
Leung Vivien Wai Yue ◽  
Li Hoi Wan Ines ◽  
Wong Oi Ling Helen
Keyword(s):  
Information Technology ◽  
Data Warehouse ◽  
Developmental Process ◽  
Recent Advances ◽  
Operational Systems ◽  
Business Data

The retailing giant Wal-Mart owes its success to the efficient use of information technology in its operations. One of the noteworthy advances made by Wal-Mart is the development of the data warehouse which gives the company a strategic advantage over its competitors. In this chapter, the planning and implementation of the Wal-Mart data warehouse is described and its integration with the operational systems is discussed. The chapter also highlights some of the problems encountered in the developmental process of the data warehouse. The implications of the recent advances in technologies such as RFID, which is likely to play an important role in the Wal-Mart data warehouse in future, is also detailed in this chapter.

Business Data Warehouse

2009 ◽  
pp. 188-197 ◽  
Author(s):  
Indranil Bose ◽  
Lam Albert Kar Chun ◽  
Leung Vivien Wai Yue ◽  
Li Hoi Wan Ines ◽  
Wong Oi Ling Helen
Keyword(s):  
Information Technology ◽  
Data Warehouse ◽  
Developmental Process ◽  
Recent Advances ◽  
Operational Systems ◽  
Business Data

The retailing giant Wal-Mart owes its success to the efficient use of information technology in its operations. One of the noteworthy advances made by Wal-Mart is the development of the data warehouse which gives the company a strategic advantage over its competitors. In this chapter, the planning and implementation of the Wal-Mart data warehouse is described and its integration with the operational systems is discussed. The chapter also highlights some of the problems encountered in the developmental process of the data warehouse. The implications of the recent advances in technologies such as RFID, which is likely to play an important role in the Wal-Mart data warehouse in future, is also detailed in this chapter.

Business Data Warehouse

2011 ◽  
pp. 112-133
Author(s):  
Indranil Bose
Keyword(s):  
Information Technology ◽  
Data Warehouse ◽  
Developmental Process ◽  
Recent Advances ◽  
Operational Systems ◽  
Business Data

The retailing giant Wal-Mart owes its success to the efficient use of information technology in its operations. One of the noteworthy advances made by Wal-Mart is the development of the data warehouse which gives the company a strategic advantage over its competitors. In this chapter, the planning and implementation of the Wal-Mart data warehouse is described and its integration with the operational systems is discussed. The chapter also highlights some of the problems encountered in the developmental process of the data warehouse. The implications of the recent advances in technologies such as RFID, which is likely to play an important role in the Wal-Mart data warehouse in future, is also detailed in this chapter.

Optimizing ETL by a Two-Level Data Staging Method

2016 ◽  
Vol 12 (3) ◽  
pp. 32-50
Author(s):  
Xiufeng Liu ◽  
Nadeem Iftikhar ◽  
Huan Huo ◽  
Per Sieverts Nielsen
Keyword(s):  
Data Warehouse ◽  
Data Warehousing ◽  
Data Extraction ◽  
Data Staging ◽  
Staging Area ◽  
Level Data ◽  
Different Types ◽  
Operational Systems ◽  
Early Late ◽  
Central Data

In data warehousing, the data from source systems are populated into a central data warehouse (DW) through extraction, transformation and loading (ETL). The standard ETL approach usually uses sequential jobs to process the data with dependencies, such as dimension and fact data. It is a non-trivial task to process the so-called early-/late-arriving data, which arrive out of order. This paper proposes a two-level data staging area method to optimize ETL. The proposed method is an all-in-one solution that supports processing different types of data from operational systems, including early-/late-arriving data, and fast-/slowly-changing data. The introduced additional staging area decouples loading process from data extraction and transformation, which improves ETL flexibility and minimizes intervention to the data warehouse. This paper evaluates the proposed method empirically, which shows that it is more efficient and less intrusive than the standard ETL method.

Lexicography

2018 ◽  
Author(s):  
Seyed Mostafa Assi
Keyword(s):  
Information Technology ◽  
State Of The Art ◽  
Applied Linguistics ◽  
The State ◽  
Western Countries ◽  
Persian Language ◽  
Recent Advances ◽  
History Of ◽  
Middle Persian ◽  
Modern Era

The history of lexicography in Iran dates back to more than 2,000 years ago, to the time of the compilation of bilingual and monolingual lexicons for the Middle Persian language. After a review of the long and rich tradition of Persian lexicography, the chapter gives an account of the state of the art in the modern era by describing recent advances and developments in this field. During the last three or four decades, in line with the advancements in western countries, Iranian lexicography evolved from its traditional state into a modern professional and academic activity trying to improve the form and content of dictionaries by implementing the following factors: the latest achievements in theoretical and applied linguistics related to lexicography; and the computer techniques and information technology and corpus-based approach to lexicography.

scholarly journals Perancangan Data Warehouse Rumah Sakit Berbasis Online Analytical Processing (OLAP)

2021 ◽  
Vol 8 (5) ◽  
pp. 1077
Author(s):  
Joko Purwanto ◽  
Renny Renny
Keyword(s):  
Information Technology ◽  
Health Services ◽  
Data Warehouse ◽  
Data Extraction ◽  
Online Analytical Processing ◽  
Data Source ◽  
Analytical Processing ◽  
Quality Of Health Services ◽  
Warehouse Design

<p class="BodyCxSpFirst">Pemanfaatan teknologi informasi sangat penting bagi rumah sakit, karena berpengaruh pula terhadap kualitas pelayanan kesehatan yang secara manual diubah menjadi digital dengan menggunakan teknologi informasi.Dalam penelitian ini penulis menggunakan metodologi <em>Nine step</em> sebagai acuan dalam merancang suatu <em>data warehouse</em><em>,</em> untuk pemodelan menggunakan skema konstelasi fakta dengan 3 tabel fakta dan 11 tabel dimensi. Perbedaan penelitian ini dengan penelitian sebelumnya terletak pada sumber data yang diekstrak langsung dari <em>database</em> SIMRS yang digunakan rumah sakit, sehingga tidak ada ekstraksi data secara manual.Penelitian ini bertujuan untuk menghasilkan desain data warehouse berbasis Online Analytical Processing (OLAP) sebagai sarana penunjang kualitas pelayanan kesehatan rumah sakit. OLAP yang dihasilkan akan berupa desain data warehouse dengan berbagai dimensi yang akan menghasilkan tampilan informasi berupa Chart maupun Grafik sehingga informasinya mudah dibaca dan dipahami oleh berbagai pihak.</p><p class="BodyCxSpFirst"> </p><p class="BodyCxSpFirst"><em><strong>Abtract</strong></em></p><p class="BodyCxSpFirst"><em>The use of information technology is very important for hospitals, because it also affects the quality of health services, which manualy changed to digital using information technology. In this study, the authors used the Nine step methodology as a reference in designing a data warehouse for modeling using a fact constellation schema with 3 fact tables and 11 dimension tables. the different in this study from previous research is that the data source was taken directly from the SIMRS database used by the hospital, so there is no manual data extraction.</em><em>The aim of this research is to be able to produce a Data Warehouse design based on Online Analytical Processing (OLAP) as a means of supporting the quality of hospital health services. The resulting OLAP will be a data warehouse design with various dimensions will produce the displays information in the form of a graph or chart so that the information is easy to read and understand by various parties.</em></p><p class="BodyCxSpLast"><em> </em></p><p class="BodyCxSpFirst"><em><strong><br /></strong></em></p>

scholarly journals IMPLEMENTASI VIEWBOARD DALAM MENDUKUNG PENYEBARAN INFORMASI DENGAN PENYAJIAN ARTIFICIAL INFORMATICS PADA PERGURUAN TINGGI

CCIT Journal ◽  
2016 ◽  
Vol 9 (3) ◽  
pp. 251-257
Author(s):  
Untung Rahardja ◽  
Deddy Pratama ◽  
Ely Susanti
Keyword(s):  
Higher Education ◽  
Information Technology ◽  
Data Warehouse ◽  
Programming Language ◽  
Educational Institution ◽  
Statistical Measure ◽  
Strategic Decisions ◽  
Database Query ◽  
Front Office ◽  
Education Academic

Information Technology (IT) has been able to made improve the effectiveness, efficiency, competitiveness, and support the managerial activities of the organization. Here are discussed about the implementation of Viewboard application for an educational institution as a module assistant of leadership in making strategic decisions. Viewboard applications developed based on existing databases on other systems as a data warehouse. In the implementation, the Viewboard applications built using the PHP programming language for the front-office interface with the concept of Artificial Informatics as a result of the processed grain database query. The Viewboard application has been tested for statistical measure of student overview on Higher Education Academic Raharja as a development and research Viewboard done. The final results show that the test can pull Viewboard processed data from an existing repository database and display the information is critical to the presentation of the characteristics of Artificial Informatics.

Data Warehouse and Business Intelligence Systems in the Context of E-HRM

2009 ◽  
pp. 223-229
Author(s):  
Martin Burgard ◽  
Franca Piazza
Keyword(s):  
Data Mining ◽  
Information Technology ◽  
Resource Management ◽  
Human Resource Management ◽  
Data Warehouse ◽  
Human Resource ◽  
Business Intelligence ◽  
Multidimensional Data ◽  
Business Intelligence Systems ◽  
Analytical Processing

The increased use of information technology leads to the generation of huge amounts of data which have to be stored and analyzed by appropriate systems. Data warehouse systems allow the storage of these data in a special multidimensional data base. Based on a data warehouse, business intelligence systems provide different analysis methods such as online analytical processing (OLAP) and data mining to analyze these data. Although these systems are already widely used and the usage is still growing, their application in the area of electronic human resource management (e-HRM) is rather scarce. Therefore, the objective of this article is to depict the components and functionality of these systems and to illustrate the application possibilities and benefits of these systems by selected application examples in the context of e-HRM.

Data Warehouse Software

2011 ◽  
pp. 179-184
Author(s):  
Huanyu Ouyang ◽  
John Wang
Keyword(s):  
Data Warehouse ◽  
Data Storage ◽  
Data Warehousing ◽  
Information Analysis ◽  
Distribution Solution ◽  
The World ◽  
Information Center ◽  
Operational Systems ◽  
Data Source ◽  
Flow Of Information

A data warehouse (DW) is a complete intelligent data storage and information delivery or distribution solution enabling users to customize the flow of information through their organization (Inmon & Hackathorn, 2002). It provides all authorized members of users’ organization with flexible, secure, and rapid access to critical information and intelligent reporting. DW can extract information from sources anywhere in the world and then delivers intelligence anywhere in the world. It connects to any platform, database, data source, and it will also scale to businesses and applications of any size. As early as the 1970’s, data warehousing software (DWS) was recognized when the earliest systems were first developed. The database designs of operational systems were not effective enough for the information analysis and reporting (The Data Warehousing Information Center, 2006).

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