Examples of using A data model in English and their translations into Romanian
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
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Programming
Or if you have connected to an external Online Analytical Processing(OLAP) or a Data Model data source, you can create a standalone,“de-coupled” PivotChart,
What is a data model?
Note: Many-to-many relationships are not supported in a Data Model.
see Relationships between tables in a Data Model.
interact with items in workbooks that contain a Data Model.
see Relationships between tables in a Data Model.
In a Data Model, the primary key
In a Data Model, you cannot create a table relationship if the key is a composite key.
In a Data Model, nulls and empty strings are equivalent to a blank, which is a distinct data value.
In a Data Model, nulls and empty strings are equivalent to a blank, which is a distinct data value.
see Add worksheet data to a Data Model using a linked table and Copy and paste rows into a Data Model in Power Pivot.
In a data model, table relationships can be one-to-one(each passenger has one boarding pass)
You can import a data feed from a variety of data source directly into a Data Model by using the Table Import Wizard in the Power Pivot add-in.
it's less useful in a data model where you want only those columns used for analysis
Workbooks that contain a data model and data visualizations are often very large, sometimes exceeding the file
A data model's share of the address space might run up to 500- 700 megabytes(MB), but could be less if other data models and add-ins are loaded.
transforms data, and creates a data model.
You can also create a Data Model to combine one or more tables of data into a single data source that you can use to create reports,
You can view workbooks that contain a Data Model, but in general, you cannot explore data in certain items, such as PivotChart reports, PivotTable reports, and timeline controls that use a Data Model as their data source.
Data r efresh and recalculation are two separate but related operations that you should understand when designing a data model that contains complex formulas, large amounts of data,