Meta-Data
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.
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.
Data about other data is metadata.
A special database of cleansed data is often referred to as a data warehouse. It is a centralized repository that stores structured and processed data from different sources, making it easier for users to analyze and make informed decisions based on high-quality data.
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.
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.
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.
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.
catch important data from data warehouse.