Definition of data warehousing in English English dictionary
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
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
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 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
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
Subject-oriented, integrated, time-variant, non-volatile store of data collected from other systems that becomes the foundation for decision support and data analysis
This vast database stores information like a data repository but goes a step further, allowing users to access data to perform research-oriented analyses
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
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
(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
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
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
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
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
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
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
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
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
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)
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
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)