E-Business have a variety of on-line transaction processing (OLTP) systems and operational database. Data Warehouse is different from operational database. A data warehouse is a subject-oriented, integrated, time-variant, and non-volatile collection of data in support of management's decision-making process. The features of Data Warehouse cause the its design process and strategies to be differ...

In this chapter, we present the Multimodal Warehouse Project, which aimed at applying multimodal interaction to a warehouse picking process. We provide an overview of the warehouse picking procedure as well as the overall architecture of the multimodal picking application and technologies applied to design the application. Furthermore, we describe the execution of user tests of the picking appl...

Based on an actual dataset of college human resources, we analyzed the data warehouse technologies and combined them with the pracical work. The snowflake structure has been described about a data warehouse of university human resource and the data warehouse has been constructed. This paper reduces and categorizes features by explorative data analysis. When the data warehouse had built and appl...

Science and technology in Brazil are areas that have few available resources and many times these scarce resources are badly used. The data warehouse is a tool that can make possible a better distribution of these resources. In this article are considered some issues in the development of a data warehouse for Science & Technology management. The paper describes the necessity of a supporting sys...

Current data warehouse and OLAP technologies are applied to analyze the structured data that companies store in databases. The context that helps to understand data over time is usually described separately in text-rich documents. This paper proposes to integrate the traditional corporate data warehouse with a document warehouse, resulting in a contextualized warehouse. Thus, the user first sel...

The bottleneck of a data warehouse implementation is the ETL (extraction, transformation, and load) process, which carries out the initial population of the data warehouse and its further (usually periodical) updates. There is a number of software products supporting the OLAP analysis. However, the ETL process implementation is not repeatable in a significant way. This paper reports on a resear...

Market competition requires continuous improvement in the design and operation of supply chains. Warehouse management is a field of interest for both practitioners and researchers and involves material, information and financial flow management in a highly dynamic environment. Designing and planning a warehouse (distribution centre) involve different levels of decisionmaking, with high levels o...

Aiming at the problems in the management and sharing research of antique information, this paper discussed the necessity to build antique information distributed data warehouse. The data warehouse architecture and the multidimensional data model were put forward, by usingonline analysis processing (OLAP) the multidimensional analysis of antique distributed data warehouse was presented, and a mu...

We consider an inventory–production system consisting of a warehouse and a production facility. The warehouse is used to store products to satisfy customer demands, and its inventory is controlled by an (r,Q ) policy. Products ordered by the warehouse are processed in the production facility on a one-by-one basis, and finished products are consolidated into batches to be shipped from the produc...

A Data Warehouse stores integrated information as materialized views over data from one or more remote sources. These materialized views must be maintained in response to actual relation updates in the remote sources. The data warehouse view maintenance techniques are classified into four major categories self maintainable recomputation, not self maintainable recomputation, self maintainable in...