Приклади вживання Data warehouse Англійська мовою та їх переклад на Українською
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enabling it to be stored in a database or data warehouse.
pre-built cube set, and Data Warehouse automation platform.
such as for storing in a database or data warehouse.
Usually, updates occur to a dimension's source data, which obviously must be reflected in the data warehouse.
Advices on enterprise-level solution deployment: Data Warehouse, BI-system, HRM-system, etc.
In this course, you will learn how to implement a data warehouse platform to support a business intelligence(BI) solution.
Yet a data warehouse may require the consolidation of all the customer information into one dimension.
while the modern library is transformed from a data warehouse into a kind of its distributor.
which may be a simple delimited flat file or a data warehouse.
With BigQuery, Google's enterprise data warehouse for large-scale data analytics,
The data warehouse concepts were proposed in 1992 by Bill Inmon in his book“Building the Data Warehouse” and became dominant in the development of data processing technology during the 1990s.
similar to information extraction(NLP) and ETL(data warehouse), the main criteria is that the extraction result goes beyond the creation of structured information
The fundamentals of the data warehouse concept are the distribution of information used in operational data processing systems(OLTP)
BI data can include historical information stored in a data warehouse, as well as new data gathered from source systems as it is generated,
Database professionals responsible for implementing a data warehouse, developing SSIS packages for data extraction,
Note that in most cases, the source of information for analytical systems is the data warehouse, which accumulates information from heterogeneous sources,
BI information can embody historical information stored in a data warehouse, as well as new information gathered from supply programs as it's generated,
Data Warehouse” system is designed to consolidate the accounting data contained in the regional databases into a centralized data warehouse for further development of consolidated financial statements
a reader's question about Google's data warehouse leads Munroe down a circuitous path to a hilariously over-detailed answer- in which,
a serverless and scalable data warehouse giving Data Scientists the ability to store