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If the data that you're exporting must be filtered (for example, you want to export only the data that is related to a specific warehouse), you must evaluate each data entity and add filtering via a query. At this stage, we need to overcome the common. Data Warehouse Implementation is a series of activities that are essential to create a fully functioning Data Warehouse, after classifying, analyzing and designing the Data The various phases of Data Warehouse Implementation are 'Planning', 'Data Gathering', 'Data Analysis' and 'Business Actions'.
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Note that what follows is a view of the minimum information that any ETL testing and data warehouse testing are slightly separate processes, but they are often considered synonymous.
In data warehousing, what problem are we really trying to solve?
If the data that you're exporting must be filtered (for example, you want to export only the data that is related to a specific warehouse), you must evaluate each data entity and add filtering via a query. Finally, data warehousing focuses on data relevant for business analysis, organizes and optimizes it to enable efficient analysis. After you identified the data you need, you design the data to flow information into your data warehouse.
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