Examples of using Data virtualization in English and their translations into Portuguese
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Colloquial
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Official
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Medicine
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Financial
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Ecclesiastic
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Ecclesiastic
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Computer
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Official/political
Data virtualization provides the solution by masking these sources as SQL tables.
Create new levels of network agility with Cisco Data Virtualization. Learn More.
Your data virtualization projects are completed faster, so you realize benefits sooner.
Learn more about the potential benefits of combining data grids with data virtualization.
Search for TIBCO Data Virtualization andgo to the TIBCO Data Virtualization page on TIBCO eDelivery.
How the bank uses Service Virtualization to virtualize its third-party services in order to prep test environments and data virtualization.
Data virtualization provides reverse proxy access to data, keeping physical data sources anonymous.
A powerful analytics-enabled SQL processor with support for machine learning, data virtualization, streaming data, and more.
Data virtualization is an excellent way to expand business analytics to sources beyond those captured in existing data warehouses and data marts.
David: What we have been doing,first through this data federation, data virtualization environment, is connecting all the dots together and then thanks to Tableau we are able to extract the value out of that.
Data virtualization differs from ETL, because even though mapping and joining data still occurs, there is no need for a physical staging table to store the results.
One of the newest tools,virtual master data management utilizes data virtualization and a persistent metadata server to implement a multi-level automated master data management hierarchy.
Data virtualization solves this problem, allowing enterprises to maintain a complete view of internal and external information while taking advantage of attractive cloud economics.
The tools include data networks, file systems, a data warehouse, data marts, an operational data store, data mining, data analysis, data visualization,data federation and data virtualization.
Big Data, virtualization, application modernization, modular infrastructure and cloud computing can result in substantial benefits, but they require an even higher level of expertise.
The authors of the Gartner report note that,"the biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine'data lakes' with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
Data virtualization combines SOA principles-like decoupling, reuse, and agility-with key information governance principles, such as abstraction, shared semantic models, and data standards.
An IT professional who is a Red Hat Certified Specialist in Data Virtualization has demonstrated the skills, knowledge, and abilities needed to federate data from multiple sources using Red Hat® JBoss® Data Virtualization.
The Red Hat Certified Specialist in Data Virtualization exam(EX450) tests candidates' skills and knowledge in the use of Red Hat® JBoss® Data Virtualization to integrate multiple data sources.
Increase business agility through pervasive data center virtualization.
Storage virtualization within data centers or between them.
Cut IT costs andimprove efficiency with data center virtualization.
SDN enhances the benefits of data center virtualization, increasing resource flexibility and utilization and reducing infrastructure costs and overhead.
Data center virtualization, network virtualization, cloud management and automation, or desktop and mobility.