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BNET Business Dictionary
- Data Warehouse
- a collection of subject-orientated data collected over a period of time and stored on a computer to provide information in support of managerial decision making. A data warehouse contains a...
- Data Warehouse definition on BNET »
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- Real-Time Data Warehousing With Temporal Requirements
- Flexibility to react on rapidly changing general conditions of the environment has become a key factor for economic success of any company. The competitiveness of an enterprise is therefore to a large extent determined by the ability of its executives to deliver exact and just-in-time decisions. These decisions must be...
- White papers 2003-06-05
- Five Ways Data Warehouses Can Promote Visual Problem-Solving
- This paper describes about the visual analysis which is the most powerful and simplified way to get the most from enterprise data. However, most business intelligence products do so little to integrate, much less simplify, visual analytics within their offering. This paper provides information about the five fundamental visual design...
- White papers 2005-08-04
- Sun Enterprise Systems: A Scalable Platform for Very Large Data Warehousing With Oracle
- The need for proven large-scale architectures to support the requirements for Very Large Data Warehousing VLDW has never been greater. Data warehouse sizes continue to grow rapidly as businesses attempt to extract more value from existing operations. This paper describes the features of the Oracle database and of Sun Fire...
- White papers 2005-06-01
- Solving the Identity Search & Matching Problem for Data Warehouses
- Data Warehouses are fundamentally about bringing disparate data together into a centralized repository to support different business uses. When such data involves information about people, organizations, customers, contacts, households, addresses, locations, products or any other identification data, some form of intelligent data matching will be required as the data will...
- White papers 2005-09-16
- Indexing Techniques in Data Warehousing Environment the UB-Tree Algorithm
- The indexing techniques in multidimensional databases are becoming more and more important. The data warehouse environment has become a popular technology and a lot of research work has been done in order to improve the query performance and to provide faster response times. The ability to answer these queries efficiently...
- White papers 2003-03-24
- Enterprise Data Warehouse Strategy : Articulating the Vision
- This links gives the description of enterprise data warehouse strategy. The typical EDW initiative is driven by the business need for organizations to compete at a global level. This requires data standardization, data conformance and data sharing. An EDW sets the foundation for sharing data across the enterprise in a...
- White papers 2003-01-01
- Fundamentals of Spatial Data Warehousing for Geographic Knowledge Discovery
- Recent years have witnessed major changes in the Geographic Information System GIS market, from technological offerings to user requests. For example, spatial databases used to be implemented in GISs or in Computer-Assisted Design CAD systems coupled with a Relational Data Base Management System RDBMS. Today, spatial databases are also implemented...
- White papers 2002-02-12
- IBM Retail Business Intelligence Solution: Retail Data Warehousing Without Limits - Gaining the Freedom to Focus
- Whether shopping for daily necessities or for luxury goods, the empowered consumers are looking for clear and compelling differences among retailers. This challenges the team to develop dynamic, customer-centric business models driven by fast, unfettered access to customer, product and other information. To cope with these challenges, many retailers are...
- White papers 2005-05-01
- Benefit Realisation Through ERP: The Re-Emergence of Data Warehousing
- The need for an integrated enterprise-wide set of management information pronounced Data Warehousing the 'Hot Topic' of the early-to-mid 1990's, however, it became unfashionable through the mid-to-late 1990s, with the approach of Y2K and with it the widespread implementation of Enterprise Resource Planning ERP systems. However, due to the re-emergence...
- White papers 2003-12-16
- Choosing a DBMS for Data Warehousing
- When making product decisions for a Data Warehousing DW environment, the DataBase Management System DBMS is the most important. Though not the most expensive component, it should be chosen with care and with active discernment over the issues and marketing messages. The data warehouse DBMS will certainly have a large...
- White papers 2002-08-05
- Enterprise Modeling and Data Warehousing in Telecom Italia
- This paper presents 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 on the...
- White papers 2004-07-23
- What the Accountant Must Know About Data Warehousing
- Data warehouse stores information designed to assist in management decision making. Its major purpose is to query all database information scattered throughout an organization, making all information available and relevant to decision making. In order to transfer information between databases so that the data warehouse integrates all data components, program...
- White papers 2003-01-01
- Scalable Data Warehousing on Microsoft Windows 2000?: Why It's Only Possible With the Teradata Database
- Teradata Database's patented architecture extends the Microsoft Windows 2000 operating system to provide the capability to support enterprise data warehouses. The Teradata Database provides parallelism, scalability, availability/switchover, system management, and interconnect/messaging in a single, massively parallel processing system. The Teradata Database is the only RDBMS to allow the enterprise to...
- White papers 2004-06-01
- Customer Value Management for the World's Leading Emerging Markets Bank
- The client, a world's leading emerging markets bank, wanted to thrust on its capabilities in personal banking and credit business loans and cards. To foray deeper into the business, the client required data warehousing and business intelligence solutions to be implemented effectively and quickly. Wipro developed a complete Data warehousing...
- Case studies
- Enterprise Model-Driven Data Warehousing
- This paper presents a comprehensive approach on how to improve the quality of data warehouses through the enrichment of metadata based on explicit modeling of the relationships between enterprise models, source models, and client interest models. The authors' algorithms, prototypical implementations, and partial validations in a number of real-world applications...
- White papers 2004-07-19
- Protecting the Public Health Through Knowledge: National Institutes of Health
- The National Institutes of Health NIH is one of eight agencies of the Public Health Service and part of the U.S. Department of Health and Human Services. NIH decided that, to meet its users' need for easy access to integrated business information, it needed outside help to bring a data...
- Case studies
- Data Warehousing: Total Cost of Ownership Research on Sun Microsystems and NCR Teradata
- Ventana Research, a leading research and advisory services firm in data warehousing, business intelligence and performance management and Consensure, a leading business and economic case software and services company, conducted research into data warehousing TCO to provide insight on the costs and cost variances between two large suppliers - Sun...
- White papers 2004-11-01
- Store And Deliver
- From the executive summary: ‘Data warehousing has always plodded along quietly. A data warehouse differs from a typical database in that it usually extracts information from a number of sources, perhaps including external sources, such as data banks of competitor information; integrates it, and makes it accessible for analysis by...
- White papers 2000-10-01
- Data Warehousing and Data Extraction on the World Wide Web
- Data integration is crucial in today's world. This has led to the development of Data Warehousing. Data Warehousing is a hot area presently in the corporate sector, as well as in academics and research. OLAP technology is being used in current applications and is being further explored for more advancement....
- White papers 2002-10-03
- A Data Warehousing and Data Mining Framework for Web Usage Management
- A new challenge in Web usage analysis is how to manage and discover informative patterns from various types of Web data stored in structured or unstructured databases for system monitoring and decision making. In this paper, a novel integrated data Warehousing and data mining framework for Website management and patterns...
- White papers 2005-09-21
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