What is Data Warehousing

A management system for data storage.

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

Is the process for collecting and managing data from varied sources to provide meaningful business insights.

System for Data Reporting and Analysis.

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

Data warehousing is the collection, cleaning and reformatting of large amounts of existing data into complex, multi-dimensional data structures, in order to facilitate data mining and exploration (finding patterns and trends hidden within the data). In a data warehouse of linguistic data (e.g. a clause cube) the analyses of various language modules are consolidated in one data structure in order to facilitate the exploration of patterns in and across the interrelated levels.

Analytical databases focused on providing decision support information and deriving business analytics for enterprises. According to Kimball definition, “a data warehouse is a copy of transaction data specifically structured for query and analysis”. This is a functional view of a data warehouse. Typically, a data warehouse is a massive database (housed on a cluster of servers, or a mini or mainframe computer) serving as a centralized repository of all data generated by all departments and units of a large organization. Advanced data mining software is required to extract meaningful information from a data warehouse.

The gathering and cleaning of data from disparate sources into a single database, optimized for exploration and reporting. The data warehouse holds a cleaned version of the data from operational systems, and data mining requires the type of cleaned data that lives in a data warehouse.

Is a method by which a large amount of differently structured data is analyzed and processed to support decision making and management in companies. It is one of the methods of business intelligence.

A system designed to store, protect, and maintain large sets of data.

Analytical databases focused on providing decision support information and deriving business intelligence for enterprises.

Widely used IT architecture for storing large banks of information that can be accessed for analytical purposes.

Data warehousing is a technology to extract, clean, integrate, and load data into a central warehouse database; it uses front tools such as OLAP and data mining to query the system for decision support.

The process of capturing data contained in the various operational systems of an organization. The data from external sources can optionally be added to the data warehouse and utilized for analysis and decision-making purposes.

A collection of models, techniques and algorithms for storing, managing and processing large amounts of data according to a global and multidimensional vision of data.

A form of data storage geared towards business intelligence. It integrates data from various parts of the company. The data in a data warehouse are read-only and tend to include historical as well as current data so that users can perform trend analysis.

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