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https://www.tutorialspoint.com/dwh/dwh_delivery_process.htm
A data warehouse is never static; it evolves as the business expands. As the business evolves, its requirements keep changing and therefore a data warehouse must be designed to ride with these changes. Hence a data warehouse system needs to be flexible. Ideally there should be a delivery process to deliver a data warehouse.
https://www.guru99.com/data-warehousing.html
What is Data Warehousing? A Data Warehousing (DW) is process for collecting and managing data from varied sources to provide meaningful business insights. A Data warehouse is typically used to connect and analyze business data from heterogeneous sources.
https://docs.oracle.com/cd/E11882_01/server.112/e25554/concept.htm
In addition to a relational database, a data warehouse environment can include an extraction, transportation, transformation, and loading (ETL) solution, statistical analysis, reporting, data mining capabilities, client analysis tools, and other applications that manage the process of gathering data, transforming it into useful, actionable information, and delivering it to business users.
https://www.educba.com/data-warehouse-implementation/
The ETL process helps in fetching the data from different sources into a single data warehouse. The process of extraction transformation and loading is used for data warehousing. 5. Metadata. The data of data is known as metadata. It helps in getting granularity of data. It helps in getting the information about the data.
https://www.geeksforgeeks.org/data-warehouse-architecture/
Data-warehouse – After cleansing of data, it is stored in the datawarehouse as central repository. It actually stores the meta data and the actual data gets stored in the data marts. Note; that datawarehouse stores the data in its purest form in this top-down approach. Data Marts – Data mart is also a part of storage component.
https://www.tutorialspoint.com/dwh/dwh_architecture.htm
Since a data warehouse can gather information quickly and efficiently, it can enhance business productivity. A data warehouse provides us a consistent view of customers and items, hence, it helps us manage customer relationship. A data warehouse also helps in …
https://www.guru99.com/data-warehouse-architecture.html
Mar 25, 2020 · In Data Warehouse, integration means the establishment of a common unit of measure for all similar data from the different databases; Data warehouse is also non-volatile means the previous data is not erased when new data is entered in it. A Datawarehouse is Time-variant as the data in a DW has high shelf life.
https://docs.oracle.com/cd/B10500_01/server.920/a96520/concept.htm
Data Warehousing Concepts. ... In Figure 1-2, you need to clean and process your operational data before putting it into the warehouse. ... Figure 1-4 Architecture of a Data Warehouse with a Staging Area and Data Marts Text description of the illustration dwhsg064.gif. Note:
https://www.investopedia.com/terms/d/data-warehousing.asp
Aug 20, 2019 · Data warehousing is the electronic storage of a large amount of information by a business. Data warehousing is a vital component of business …
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