Examples of using A data warehouse in English and their translations into Indonesian
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revenue generation given by DM could present bootstrap funding for a data warehouse or associated projects.
A data warehouse, in contrast, deals with multiple subject areas
as the store for base data  that is summarized for a data warehouse.
A data warehouse is fundamentally different to your operational systems
no desire to spend money on building a data warehouse.
A data warehouse can contain multiple star schemas that share dimension tables,
because building a data warehouse involve a  significant task that do not arise OLTP system.
Table 2 illustrates the data  used for building a  model for new customer prospecting in a data warehouse.
is typically done before data  is sent to a data warehouse for further investigation.
analysts may start with the type of data  they want and create a data warehouse based on those specs.
This info can be integrated into an  organization edition of a data warehouse and be manipulated in line with the input rules.
do all business intelligence applications require a data warehouse.
income production supplied by DM will present bootstrap funding for a data warehouse or associated initiatives.
This info can be integrated into a  business edition of a data warehouse and be manipulated based on the input rules.
has defined a data warehouse as a  centralized repository for the entire enterprise.
Another stumbling block for an  organization is deciding to defer any data  mining activity until a data warehouse is built.
In this day and age, CIO's can rest easy knowing that optimizing a data warehouse doesn't have to be so daunting.
A data warehouse is a  relational or multidimensional database that
A data warehouse gives the option to analyze data  from different sources under the same roof.