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A data warehouse is a database used for reporting and data analysis. It stores current and historical data and are used for creating trending reports for senior management reporting. The stored data is uploaded to the database from the operational systems, such as marketing, sales and so on.
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What is data where housing and mining?
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.
What is metadata what is its use in data warehouse architecture?
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.
What is data warehouse used for?
A data warehouse is a database used for reporting and data analysis. It stores current and historical data and are used for creating trending reports for senior management reporting. The stored data is uploaded to the database from the operational systems, such as marketing, sales and so on.
Is lotus notes considered a data warehouse?
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.
What is a data mart?
In the data warehouse, the access layer is a data mart. Data marts are subsets that are used for a specific department.
What is data marts?
In the data warehouse, the access layer is a data mart. Data marts are subsets that are used for a specific department.
What is a smaller version of a data warehouse?
What are the three most common forms of data warehouses? is a smaller form of a data warehouse that is often used by a single department or function. An independent data mart is a tiny warehouse that is built for a strategic business unit (SBU) or a department, but it does not have a central data source (EDW). To learn more about data science please visit- Learnbay.co
How is data warehouse different from a database?
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.
What do you mean by data warehouse?
Data warehouse is a house where current as well as historical data can be stored.
What are the key relationships between data warehouse and data mining?
Data warehouse is the database on which we apply data mining.
How does Data Warehouse differ from Data Mart?
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.
What Data warehouse and its features and add a note on advantages of data warehouse to business organization?
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.
