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Not a lot really.
They are just different names for the same thing.
Some might argue that a data centre would house IT equipment that process data so would have a lot of servers. A data warehouse would be used to store data, like archived information.
To be honest most modern IT facilities do both and are generally built the same way as both storage and processing IT equipment require the same basic infrastructure.
Wiki User
∙ 12y ago
A data center is a physical facility that houses computer systems and components, such as servers, storage systems, and networking devices, to support the IT infrastructure of an organization. A data warehouse, on the other hand, is a specialized database that stores structured, historical data from various sources to support business intelligence and decision-making processes. Data centers focus on providing a secure and reliable environment for IT operations, while data warehouses focus on storing and analyzing data for business insights.
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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 difference between database and data warehouse?
A database is a structured collection of data that is organized in a way that facilitates efficient storage, retrieval, and updating of data. A data warehouse, on the other hand, is a specialized type of database that is specifically designed for data analysis and reporting. Data warehouses typically store large volumes of historical data from various sources to support business intelligence and decision-making processes.
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.
What describes contents of a data warehouse?
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.
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.
Difference between data warehouse and datamart?
A data warehouse has multiple functional areas whereby a centralized organizational unit is responsible for implementing it. On the contrary, data marts focus on particular functional areas hence are simple forms of a data warehouse.
What is the difference between a computer site and a data center?
Nothing really. People use different names for basicly the same thing. Computer Room Data Centre IT Suite Data Warehouse Compure Site IT Facility Some may argue that different size facilities have different names but there is no agreed convention on when a computer room should become a data centre.
What are the key relationships between data warehouse and data mining?
Data warehouse is the database on which we apply data mining.
Difference between data warehouse and OLTP?
A data warehouse differs from OLTP in that the former handles many large and complex queries regarding various rows of a table while the latter retrieves data from single rows. At the same time, a data warehouse is not real time and supports few users at a time compared to OLTP that can support many concurrent users.
What is the difference between database and data warehouse?
A database is a structured collection of data that is organized in a way that facilitates efficient storage, retrieval, and updating of data. A data warehouse, on the other hand, is a specialized type of database that is specifically designed for data analysis and reporting. Data warehouses typically store large volumes of historical data from various sources to support business intelligence and decision-making processes.
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 the difference between data warehouse testing and conventional testing?
ETL stands for Extract-Transform-Load and it is a process of how data is loaded from the source system to the data warehouse. Data is extracted from an OLTP database, transformed to match the data warehouse schema and loaded into the data warehouse database.Many data warehouses also incorporate data from non-OLTP systems such as text files, legacy systems and spreadsheets. Conventional testing is a sort of testing in which the test engineers will check the developed application or its related parts are working accordingly to the expectations of customer or not, from coding phase of SDLC to the end
What describes contents of a data warehouse?
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.
What do you mean by partioning in datawarehouse?
Data warehouse is a large repository of data. The data may or may not be of any use. Partitioning in Data warehouse can be done by forming clusters and then forming groups.Partitioning in datawarehouse can be done by forming clusters. Partitioning can be done on the basis of relation between the data.
What is the difference between OLAP and data mining?
difference between Data Mining and OLAP
What are the differences data warehouse between data mining?
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.
What do you mean by data warehouse?
Data warehouse is a house where current as well as historical data can be stored.
