What is Data Warehouse

Is a system used for the analysis and collection of data from heterogeneous sources. In this way a unique repository containing real time and historical data reports is obtained, to generate data to be transmitted to the whole company.

Data repository that aggregates data from multiple sources.

A data warehouse is a database designed for the business intelligence requirements and managerial decision making of an organization. The data warehouse integrates data from the various operational systems and is typically loaded from these systems at regular intervals. It contains historical information that enables the analysis of business performance over time. The data are subject oriented, integrated, time variant, and nonvolatile.

Data warehouse is a consistent, consolidated and refined information collection that integrates data from various data sources. The data warehouse produces information, reports and statistics for decision-making and other purposes.

It is a relational database that is designed for query and analysis, and usually contains historical data that are derived from transaction data.

Special type of database for storage of heterogeneous data from different sources. Data warehouses are optimized for supporting and including data analyzes.

A tool for integrating different data sources in a unified repository to support business intelligence and reporting.

An integrated decision support database whose content is derived from the various operational databases. (1) A subject-oriented, integrated, time-variant, non-updatable collection of data used in support of management decision-making processes.

A database that is subject-oriented, integrated, time-variant, and non-volatile.

A large database that collects an organization’s transactional and customer-related data in a single logical repository for analysis and managerial decision making purposes. The data can originate from many operational areas of the organization, such as Website transaction logs of customers, online shopping carts, point-of-sale terminals in stores, warehouse inventory, and field sales reports. Through the use of data mining tools, complex algorithms and filtering techniques on the data collected in a data warehouse, organizations can track their customers’ behavior online, and identify their needs and common problems. Data warehouses can provide managers with a more complete and accurate profile of their customers, which can be used to tailor product and service offerings in line with customer expectations.

It is the storage of consolidated information dedicated to easily and quickly provide simple or preaggregated data for analysis.

A large data store containing the organization’s historical data, which is used primarily for data analysis and data mining.

A central repository for all the data selectively collected from various sources by an enterprise’s business systems into a single database for useful analysis and access by end-users.

A database which is subject-oriented, integrated, time-variant, and non-volatile.

A data source created for the purpose of making reporting and visualizations easier among an institution and contains cleaned and connected data from around the institution.

XML database specifically modeled (i.e., multidimensionally with a starlike schema) to support XML decision-support and analytic queries.

A data warehouse can be defined as a central repository of data, typically gathered from different operational databases. A data warehouse allows the users to make queries and perform detailed business analysis for decision-making purposes.

Collection of historical data, built by gathering and integrating data from several data sources, structured in a multidimensional way to support decisional queries.

Delivers deep operational insight with advanced in-database analytics.

A central repository of current and historical data made by integrating data from heterogeneous sources.

Collection of historical data, built by gathering and integrating data from several sources, which supports decision-making processes.

A data warehouse is a repository of an organization’s data, specifically designed to support activities of analysis and decision making.

Data warehouse is a central repository of integrated data from one or more heterogeneous sources that enables efficient data analysis and reporting. It is considered as a core component of business intelligence.

A subject-oriented, integrated, time-variant, and nonvolatile collection of data in support of management’s decision-making process.

The function of data warehouse (DW) is to “collect and store integrated sets of historical data from multiple operational systems and feeds them to one or more data marts” ( Williams and Williams, 2007 , p. 201).

A repository of subject-oriented historical data that is organised to be accessible in a form readily acceptable for analytical processing activities.

A platform consisting of a repository of selected information drawn from remote databases or other information sources, which forms the infrastructural basis for supporting business decision making.

This is a database built to support information access. Typically, a data warehouse is fed from one or more transaction databases. The data need to be cleaned and restructured to support queries, summaries, and analyses.

A set of archiving systems for company data in digital format, notable for its capacity to store historical data relating to the organisation’s activities (production, marketing, administration) and to make them available for querying for statistical or decision-making purposes (driven by the decision support system software). The presence of a data warehouse within the organization is a fundamental condition for implementing knowledge management practices.

A storage facility for large datasets in a big data environment.

A data warehouse is typically a second home for data. In large corporate or institutional settings, data deemed important for reporting purposes is copied out of various production systems and brought together in the data warehouse where is can be preserved and analyzed. In a university setting, a student data warehouse might contain historical data gathered from a variety of systems (admissions, housing, advising, degree audit, etc.).

An integrated data repository system for extracting, loading and transforming data into information.

Specialized database optimized for reporting, often used for storing large amounts of structured data. Data is uploaded using ETL (extract, transform, and load) tools from operational data stores, and reports are often generated using business intelligence tools.

Repository of data from adaptive learning platform, learning management system, student information system, customer relationship management application, and other technology tools and applications used to inform business operations and power predictive analytics.

A database that implements a dimensional data model and contains a copy of operational and other data in order to provide highly performant means for analytics and reporting for decision making.

During the integration of data from multiple distributed heterogeneous databases and other information sources, a data warehouse is used as the repository to store the data.

A subject-oriented, integrated, time-variant, and nonvolatile collection of data. The data are usually stored in multidimensional cubes, an optimized way to provide data for analyze purposes.

Is a database for reporting and data analysis. Integrating data from one or more disparate sources creates a central repository of data, a Data Warehouse (DW). Data warehouses store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons.

Subject-oriented, integrated, time-variant and nonvolatile collection of data in support of management’s decision-making process (Inmon, 2002).

The main repository of an organization’s historical data, its corporate memory. It contains the raw material for management’s decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems. The data in the data warehouse is organized so that all the data elements relating to the same real-world event or object are linked together.

An integrated data repository system for extracting, loading and transforming data into information.

A data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis. They are central repositories of integrated data from one or more disparate sources.

A repository of subject-oriented historical data that is organised to be accessible in a form readily acceptable for analytical processing activities.

A data warehouse is a database used for reporting and data analysis. It is a central repository of data which is created by integrating data from multiple disparate sources. Data warehouses store current as well as historicsal data and are commonly used for creating trending reports for senior management reporting such as annual and quarterly comparisons.

This is a large data store containing the organization’s historical data which is used primarily for data analysis and data miming.

A data warehouse is a central repository for all or significant parts of the data that an enterprise’s various business systems collect.

A repository of subject-oriented historical data that is organized to be accessible in a form readily acceptable for analytical processing activities.

A data system that ingests, stores, and retrieves data for use in other systems.

A central data repository that contains cleaned and integrated data from different sources (databases, files, etc.).

Large volumes of data from many sources are centralised and combined in a data warehouse. With the help of its analytical capabilities, businesses can get more out of their data and make better decisions by gaining useful business insights.

Provides a single version (or source) of the truth for decision support data. The data is extracted from source systems (e.g., operational systems, ERPs), transformed (e.g., consistent formats), integrated (e.g., around a common key, such as a customer ID), and loaded into the data warehouse.

Data warehouse is defined as a subject-oriented, integrated, time-variant and non-volatile collection of data supporting decision making process. Usually, a data warehouse is considered as a database that provides access to all the information of an organization.

A database which is subject-oriented, integrated, time-variant, and non-volatile.

An accumulation of huge amounts of data from various sources inside a company and facilitates management in decision making. It is a relational database, intended for handling queries and analysis and not designed for transaction processing.

A database which is subject-oriented, integrated, time-variant, and non-volatile.

A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process.

Data Warehouse is the central repository for the analytical information to be processed. Usually, this data is uploaded to this central repository and have real-time, near real-time, or sporadic updates.

A database application that collects, integrates, and stores data with the aim of producing accurate and timely management of information and support for analysis techniques.

A group of data from different sources organized to present useful guidance to an organization’s decision makers. A shared repository of data.

A database built to support information access. Typically a data warehouse is fed from one or more transaction databases. The data needs to be cleaned and restructured to support queries, summaries, and analyses.