Examples of using Data warehousing in English and their translations into Chinese
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Dissemination, data warehousing.
Data warehousing and reporting web portal system.
Dissemination, data warehousing:.
Data warehousing properly implemented is an incredibly powerful solution.
Fast, simple, cost-effective data warehousing.
Business intelligence and data warehousing Service management and professional culture.
Fast, simple, cost-effective data warehousing.
Hive is a data warehousing system that helps to query large datasets in the HDFS.
NCR Teradata becomes the world's most proven andpowerful database for data warehousing.
As a result, cloud data warehousing tends to be cheaper, flexible, and easier for IT teams to manage.
(a) Improve implementation ofhuman resources information technology systems, data warehousing and reporting tools.
Wave 1 will have reporting and data warehousing elements that are associated with the introduced functionalities.
In the area of statistics, ECLAC worked with the Caribbean DevelopmentBank in hosting an expert group meeting on data warehousing.
Data Warehousing: The process of designing, building, and maintaining a data warehouse system.
Operational data warehouse(ODS) and data warehousing(DW) data in both environments there is a difference index.
Perhaps more important, though, is that AI is one of the company's threecore focuses(the other two being the Edge and Data Warehousing).
The Data Warehousing Institute, a for-profit organization that promotes data warehousing, is founded.
A workspace contains the objects for one or more data warehousing projects; in complex environments, you may have several workspaces.
Data warehousing, or storing data in such a way as to make reporting and analysis easier, is an important application area for SMAQ systems.
In recent years, the gradual application of this type with OLAP, data warehousing closely linked to the formation of a new application direction.
In essence, data warehousing is intended to provide an architectural model of the flow of data from operational systems to decision support environments.
Some enterprises are focused on internal transformation,where technologies such as enterprise mobility, data warehousing, and security technologies remain highly relevant.
Hadoop is more of a data warehousing system- so it needs a system like MapReduce to actually process the data. .
(b) Maintain systems recently completed as part of the re-engineering effort by including the Web enablement,data collection and data warehousing systems;
Practices like data mining or data warehousing as well as the placement of" cookies" are widely used in electronic commerce.
The concept of data warehousing dates back to the late 1980s when IBM researchers Barry Devlin and Paul Murphy developed the"business data warehouse".
Presto was designed to handle data warehousing and analytics: data analysis, aggregating large amounts of data and producing reports.
Tim is co-author of six books about Oracle data warehousing and performance optimization, and has performed technical review for eight other published books.