Examples of using The data warehouse in English and their translations into Vietnamese
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shortest path, inferencing, and more of the data warehouse style analytics that the market was missing.
various operational systems and from external sources, you have to prepare the data for storing in the data warehouse.
There are two sub-roles within the Data warehouse group: Data architects who design both relational and multidimensional structures to accomplish the goals set out in the technical specification.
and load it into the data warehouse.
The data warehouse thus is responsible for making the work of the data mining easier in housing all the relevant data that needs to be mined at a central location, rather than when data mining has to keep seeking for data in different locations.
The data warehouse collected will be the premise to proceed to stage 5: apply Artificial Intelligence to operate smartly,
For example, rather than storing the details of each sales transaction, the data warehouse may store a summary of the transactions per item type for each store or, summarized to a higher level, for each sales region.
Most vendors would say that the data warehouses are difficult and expensive to do, and that they are not advisable.
Four components of the Data Warehouse are.
This classic definition of the data warehouse focuses on data storage.
Operational update of data does not occur in the data warehouse environment.
However, the data warehouse is not a product but an environment.
This chapter applies relational data-modeling techniques for developing the data warehouse data model.
managing and using the data warehouse.
These operations include transformations to prepare the data for entering into the Data warehouse.
The Data Warehouse is organized around major issues, such as customer, vendor,
A system of record is the source of the best or"rightest" data that feed the data warehouse.