Examples of using The data warehouse in English and their translations into Indonesian
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Colloquial
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Ecclesiastic
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Computer
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Ecclesiastic
Operational database layer- The source data for the data warehouse- An organization's Enterprise Resource Planning systems fall into this layer.
Most patterns are based on the industry standard Ralph Kimball approach whereby the Data Warehouse is the conglomerate of all data marts within the enterprise,
Information in the data warehouse is under the control of data warehouse users
often called the data warehouse database, where the data is arranged into hierarchical groups often called dimensions
Information in the data warehouse is under the control of data warehouse users
Henderson: I think from my perspective, Snowflake, the data warehouse, is really interesting because it allows us to join disparate data sources
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
uniformly directly into the data warehouse, or a data mart,
a key task is efficiently loading the data warehouse or data mart with large volumes of data extracted from multiple existing production systems.
before feeding into the data warehouse and finally again analyze in the front room.
believe in Bill Inmon's approach in which it is stated that the data warehouse should be modeled using an E-R model/normalized model.
of the data structure of the data warehouse.
The data warehouse bus architecture is primarily an implementation of“the bus”, a collection of conformed dimensions
Generally sales data doesn't reach the current level of detail for 24 hours as it waits until it is no longer available to the operational system i.e. it takes 24 hours for it to get to the data warehouse.
If integration via the bus is achieved, the data warehouse, through its two data marts,
If integration via the bus is achieved, the data warehouse, through its two data marts,
more demands from the business for real-time data in their analysis, the data warehouse needs to be a nimble and flexible repository of information,
transformed and loaded into the data warehouse or into a separate data mart for feeding into the“front room”.
Must have working experience in the data warehousing and Business Intelligence systems.