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Q: What is a Cube and Linked Cube with reference to data warehouse?
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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 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.


What is mdbms?

A multidimensional database management system is a database management system that uses a data cube as an idea to represent multiple dimensions of data available to users. This database is optimized for data warehouse and analytical processing applications...


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 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 the definition of slice and dice?

This is an informal term referring to data retrieval and manipulation in a Data Warehousing Systems. We can picture a data warehouse as a cube of data, where each axis of the cube represents a dimension. To "slice" the data is to retrieve a piece (a slice) of the cube by specifying measures and values for some or all of the dimensions. When we retrieve a data slice, we may also move and reorder its columns and rows as if we had diced the slice into many small pieces. A system with good slicing and dicing makes it easy to navigate through large amounts of data.


Every data structure in data warehouse contains time element?

Every data structure in the data warehouse contains the time element. Why?


What are benefits of data warehouse?

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.


What makes the best data warehouse architecture?

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.


What are the advantages of a warehouse?

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.


What is distributed data warehouse?

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.