data warehousing

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data warehouse
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A data warehouse is a collection of data gathered and organized so that it can easily by analyzed, extracted, synthesized, and otherwise be used for the purposes of further understanding the data It may be contrasted with data that is gathered to meet immediate business objectives such as order and payment transactions, although this data would also usually become part of a data warehouse
The process of gathering data from various internal and external sources and storing it in a subject-oriented database, designed to help executives, managers and business professionals make better business decisions
A knowledge management tool which enables past data to be stored in a computerised database in an easily retrievable form
The act of gathering data from distributed locations in a single store, usually in some aggregated form for further analysis
The coordinated, architected, and periodic copying of data from various sources, both inside and outside the enterprise, into an environment optimized for analytical and informational processing
The ability of a system to store data resulting from Data Mining to be used in future inquiries of that database
The process of collecting and organizing enterprise data so that it is optimized for distribution and access
storing and accessing large amounts of data in various locations
A data warehouse is a central repository for all or significant parts of the data that an enterprise's various business systems collect
(Database Tuning with the Oracle Tuning Pack)
data warehouse
A collection of data, from a variety of sources, organized to provide useful guidance to an organization's decision makers
data warehouse
A collection of databases, data tables, and mechanisms to access the data on a single subject Source : Human Genome Project Information
data warehouse
A collection of integrated subject-oriented databases designed to support the decision support systems function, where each unit of data is relevant to some moment in time
data warehouse
A single system (or database) that accepts information from multiple systems for the purpose of reporting A data warehouse is not currently planned for the e*mpac Project
data warehouse
Data mining and data warehousing go hand in hand Before you can effectively mine information, you have to put it all in one place - at least temporarily Data warehousing involves integrating information from different systems, functions, and locations across an enterprise into a central database to allow more accurate analysis of customer needs, buying patterns, and profitability and improved decision making and marketing
data warehouse
A data collection -- prepackaged or summarized according to specific business rules and designed to support management decision making Data warehouses contain a wide variety of data that present a coherent picture of business information
data warehouse
A specific database (or set of databases) containing data from many sources that are linked by a common subject (e g , a plan member) 7
data warehouse
Subject-oriented, integrated, time-variant, non-volatile store of data collected from other systems that becomes the foundation for decision support and data analysis
data warehouse
This vast database stores information like a data repository but goes a step further, allowing users to access data to perform research-oriented analyses
data warehouse
A database containing copious amounts of information, organized to aid decision-making in an organization Data warehouses receive batch updates, and are configured for fast online queries to produce succinct summaries of data
data warehouse
An integrated, subject oriented collection of data which captures data at incremental moments of time and retains them for a long period of time Data warehouses are usually designed to enhance decision support functions Architected data warehouses contain a single atomic level and multiple secondary levels of data to support particular decision support functions
data warehouse
(noun, database) A collection of integrated subject-oriented Databases designed to support the DSS function, where each unit of data is relevant to some moment in time The data warehouse contains atomic data and lightly summarized data
data warehouse
A collection of databases, data tables, and mechanisms to access the data on a single subject
data warehouse
An integration of multiple, large databases and other information sources into a single repository or access point that is suitable for direct querying, analysis, or processing
data warehouse
A database, frequently very large, that can access all of a company's information While the warehouse can be distributed over several computers and may contain several databases and information from numerous sources in a variety of formats, it should be accessible through a server Thus, access to the warehouse is transparent to the user, who can use simple commands to retrieve and analyze all the information The data warehouse also contains data about how the warehouse is organized, where the information can be found, and any connections between data Frequently used for decision support within an organization, the data warehouse also allows the organization to organize its data, coordinate updates, and see relationships between information gathered from different parts of the organization
data warehouse
According to William Inmon, widely considered the father of the modern data warehouse, a Data Warehouse is a "Subject-Oriented, Integrated, Time-Variant, Nonvolatile collection of data in support of decision making" Data Warehouses tend to have these distinguishing features: (1) Use a subject oriented dimensional data model; (2) Contain publishable data from potentially multiple sources and; (3) Contain integrated reporting tools
data warehouse
A data warehouse brings together data from multiple transactional systems and enables users to access and analyze the information at various levels throughout an enterprise
data warehouse
An implementation of an informational database used to store sharable data sourced from an operational database-of-record It is typically a subject database that allows users to tap into a company's vast store of operational data to track and respond to business trends and facilitate forecasting and planning efforts
data warehouse
Software and hardware to support a massive relational database management system (RDBMS) with multiple indices that allow users of a DSS/EIS to quickly perform longitudinal studies of extensive amounts of Medicaid or other stored public assistance data Common RDBMS technologies include Oracle 8, Sybase Adaptive Server Enterprise, and Sybase Adaptive Server IQ
data warehouse
Multiple databases used to store sharable read?only data that is updated from an operational database-of-record Allows users to tap an organization's data store to track and respond to business trends and facilitate forecasting and planning efforts
data warehouse
Software system, such as Vitalnet, making large complex databases readily available for querying and analysis
data warehouse
A separate database dedicated to decision support Data is transferred from transaction processing systems and integrated It is accessed to provide management information through report writers, query tools, data access and retrieval tools, OLAP servers and enterprise information systems It is a software architecture, not a product
data warehouse
–A large database designed to streamline analysis (rather than to streamline transaction processing) It consists of cleansed (ideally) data and metadata (data about the data)
data warehouse
A collection of software and data organized to collect, cleanse, transform and store data from a variety of sources, and analyze and present information to support decision-making, tactical and strategic business processes
data warehouse
Integrates separate databases within a health care system for the interchange of data and reports to allow the management information system (MIS) system to handle data from several sources as if from one source (See Clinical Data Repository)
data warehousing

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