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What is a Data Warehouse - Explained with real life example
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Data warehouses are usually designed to support a specific business need or process, such as analyzing sales data or customer behavior.
Data is typically loaded into the data warehouse on a regular basis, using a process known as ETL (extract, transform, load). This involves extracting data from various sources, cleansing and transforming the data to fit the data warehouse schema, and then loading it into the warehouse.
Data warehouses often use a dimensional model, which organizes data into facts (measures) and dimensions (context). This makes it easier to perform complex queries and analysis, and can be more intuitive for users.
Data warehouses can be used to perform a variety of types of analysis, including trend analysis, forecasting, and statistical analysis.
Data is typically loaded into the data warehouse on a regular basis, using a process known as ETL (extract, transform, load). This involves extracting data from various sources, cleansing and transforming the data to fit the data warehouse schema, and then loading it into the warehouse.
Data warehouses often use a dimensional model, which organizes data into facts (measures) and dimensions (context). This makes it easier to perform complex queries and analysis, and can be more intuitive for users.
Data warehouses can be used to perform a variety of types of analysis, including trend analysis, forecasting, and statistical analysis.