Data about other data is metadata.
Metadata is data about data that provides information such as the structure, format, and characteristics of the data stored in a data warehouse. It is used in data warehouse architecture to facilitate data integration, data governance, and data lineage. Metadata helps users understand and manage the data in the data warehouse efficiently.
A distributed data warehouse is a type of data warehouse architecture where data is distributed across multiple servers or nodes in a network. This allows for improved scalability, performance, and fault tolerance compared to a centralized data warehouse. Distributed data warehouses can handle large volumes of data more efficiently by spreading the workload across multiple nodes.
A data warehouse stores structured data from various sources for analysis and reporting. It typically includes historical data, organized into tables, aimed at supporting decision-making processes. Data warehouses are optimized for complex queries and data aggregation.
Scoped data refers to data that is limited in its visibility or access within a specific scope, such as within a function, module, or class. This helps to organize and control the flow of data within a defined context, preventing unintended side effects or conflicts with other parts of the program. Scoped data is typically only accessible within the boundaries of its scope.
No, Lotus Notes is not considered a data warehouse. Lotus Notes is a collaborative software platform primarily used for email and document management, while a data warehouse is a central repository of integrated data from different sources used for reporting and analysis.
it's data warehouse....data warehouse: it is a collection of multiple databases or it it is repository of data.data mining it is the process of extracting data from data warehouse.
Data warehouse is a house where current as well as historical data can be stored.
Data warehouse is the database on which we apply data mining.
Data marts are combined into a data warehouse cannot be built alone without considering data marts. Both has equal importance to built proper data warehouse.
Metadata is data about data that provides information such as the structure, format, and characteristics of the data stored in a data warehouse. It is used in data warehouse architecture to facilitate data integration, data governance, and data lineage. Metadata helps users understand and manage the data in the data warehouse efficiently.
A data warehouse is the main repository of an organization's historical data, its corporate memory. * Data warehouses enhance end-user access to a wide variety of data. * Decision support system users can obtain specified trend reports, e.g. the item with the most sales in a particular area within the last two years. * Data warehouses can be a significant enabler of commercial business applications, particularly customer relationship management (CRM) systems.A data warehouse is a logical collection of information gathered from many different operational databases used to create business intelligence that supports business analysis activities and decision making tasks.
A database is a storage of data in its most generic form. Data stored in a data might be used for data warehouse, CRM or many other types of data management uses. A simple database is used in many common computer applications from virus checkers, where data is stored about every known computer virus, to movie editing software where video clips are stored in a database as they are edited. A data warehouse describes a specific type of database application that is usually used for analytics. Data warehouse also implies some set of processes for the data within, as well as some business value from the analytics. A data warehouse could be a a collection of databases related to the analytical mission.
Every data structure in the data warehouse contains the time element. Why?
One of the biggest benefits is that you can archive your data to a data warehouse. This can keep your main "production" database smaller which can provide some performance benefits. Also you can use the data warehouse to run complex queries and data-mining without adverse effects on the performance of your "production" application.
A data warehouse architecture is similar to various relational database systems. What makes the best architecture is the organization of the warehouse itself and the data it consist of.
Data warehouse is the pool of huge amount of data. The data in data ware house can be archived. And when the data is needed you can extract it from the archived files.
A distributed data warehouse is a type of data warehouse architecture where data is distributed across multiple servers or nodes in a network. This allows for improved scalability, performance, and fault tolerance compared to a centralized data warehouse. Distributed data warehouses can handle large volumes of data more efficiently by spreading the workload across multiple nodes.