Examples of using Data warehouse in English and their translations into Portuguese
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Financial
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Allows to load the invoice data in SBO format in full detail in the TEMExpert Data Warehouse.
FusionCube outshines its competitors as the IT infrastructure for virtualization platform, data warehouse, desktop cloud,
benefit from cloud economies by modernizing your data warehouse with Amazon Redshift.
guarantee are automatically encrypted in our Data Warehouse so that they cannot be easily accessed.
write data into the Snowflake data warehouse.
integration of Big Data with the Data Warehouse.
on-premises data into a trusted, modern data warehouse on Amazon Redshift.
Connect directly to your data stored in Azure SQL Data Warehouse with our new connector.
made available on the ECB's Statistical Data Warehouse.
Business intelligence(bi) relies on data warehouse(dw), a historical data repository designed to support the decision making process.
SG Data Warehouse is designed to provide the data foundation needed to support any organization's business intelligence needs.
Azure SQL Data warehouse not only enables lightning analytics on data,
Test Data Warehouse gives testers a view into the test environment
Using Google's elastic enterprise data warehouse, BigQuery, customers can pass on the responsibility of maintaining large datasets to Google.
and accessible via the ECB Statistical Data Warehouse http://sdw. ecb. europa. eu/quickview. do?
Ghumari's Hadith Data Warehouse shows that 14,000 repeated Prophetic sayings(hadith)
Automating the provisioning of test data from Test Data Warehouse with DevOps accelerates the development cycles in an Agile development environment.
Discover the Data Warehouse Fast Track solution which combines HPE Nimble storage AF40 all flash array and HPE ProLiant DL380 Gen10 server in this technical white paper.
Data warehouse applications and data migration projects need to perform Extract, Transform and Load(ETL) processes.
And Oracle data needs to be connected to data warehouse and big data initiatives to facilitate timely analysis and reporting.