data are rarely deleted
A data warehouse is a centralized pool of data. Data warehouse is basically a repository where large amount of data is stored . The advantage of data warehouse is that we can archive the data that is not used in a long time.
Data warehouse is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed rather than transaction processing, whereas Data mining is the process of analyzing unknown patterns of data.
transaction data
Data life cycle refers to the time from creation and the initial storage of data to the time that the data becomes obsolete and it is deleted. Data life cycle management is the approach to managing data using automated processes to organize data in a system.
Authorized users within a system or platform are individuals who have been granted permission to access certain features or data. They are typically assigned specific roles or permissions that determine the extent of their access. This helps ensure that only authorized individuals can perform certain actions or view sensitive information, enhancing security and control within the system.
A database is a system for storing transactional data (OLTP). A data mart is a repository for analytical data (OLAP). A database is a collection of information about a single topic's various features and activities. Data from many subjects will be stored in a data mart. To learn more about data science please visit- Learnbay.co
The data ware of a computer system is also known as the enterprise data warehouse. It is a system used for reporting and data analysis.
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.
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.
There are many features of the Data Director system. WIth this system, data can easily be located, viewed, and moved from a third party system. It is especially useful in the healthcare field of work.
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 staging in data warehousing involves steps like data extraction from source systems, data transformation to prepare it for analysis, and data loading into the data warehouse. This process ensures that data is cleansed, standardized, and organized before being stored in the data warehouse for reporting and analytics purposes.
A data warehouse is a centralized pool of data. Data warehouse is basically a repository where large amount of data is stored . The advantage of data warehouse is that we can archive the data that is not used in a long time.
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.