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The following steps are involved in the process of data warehousing: Extraction of data ? A large amount of data is gathered from various sources. Cleaning of data ? Once the data is compiled, it goes through a cleaning process.
A data warehouse requires that the data be organized in a tabular format, which is where the schema comes into play. The tabular format is needed so that SQL can be used to query the data. But not all applications require data to be in tabular format.
Simply put, service-level agreements (SLAs) are a method many companies use to define and measure the level of service a given vendor, product, or internal team will deliver?as well as potential remedies if they fail to deliver.
How to build a data warehouse in 7 steps: Elicit goals. Conceptualize and select the platform. Create a business case and develop a project roadmap. Analyze the system and design the data warehouse architecture. Develop and stabilize the system. Launch the solution. Ensure after-launch support.
The first element of a data warehouse documentation template is the business requirements, which describe the purpose, scope, and objectives of the data warehouse project. The business requirements should answer questions such as: Why do we need a data warehouse?