Examples of using Multiple data sources in English and their translations into Korean
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Supports multiple data sources.
Multiple data sources concatenated per template object.
A third possible solution is to combine multiple data sources.
Supports multiple data sources and all major technologies.
Marketing analysts and data scientists join multiple data sources using BigQuery's SQL.
Loading data from multiple data sources into Amazon EMR is the first step in forming a data lake.
Use a simple drag and drop interface to access a range of capabilities, and work across multiple data sources.
You can even combine multiple data sources to gain new insights.
Multiple data sources: You can use any tabular data source for data mining, including spreadsheets and text files.
Analyze events across multiple data sources and identify security risks.
The same gateway can be used with multiple services, and multiple data sources.
Connecting multiple data sources and organising the findings in a quick and simple manner, and being able to view the data in a meaningful way with just a few clicks.
Additionally you can connect multiple data sources into one report.
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.
Enterprise Interoperability: facilitating the interoperation of multiple data sources for visibility of mission-critical asset information.
The term was coined by James Dixon in 2010,when he did that he intended a data lake to be used for a single data source, multiple data sources would instead form a"water garden".
Maximize existing security investments Integration with multiple data sources, including McAfee ESM and third-party SIEMs, increase the visibility of the threat landscape and attack surface.
Informatica for Tableau Load, combine, clean, and blend data for Tableau from multiple data sources, yourself, with just a few clicks.
In response, the Data Engineering team integrated its multiple data sources into Tableau Server to create a secure point of access for the entire organization.
AssetWise Enterprise Interoperability helps extend the CDE to your entire enterprise by enabling access to multiple data sources and third party systems to deliver a common view of asset information.
Amazon EMR Use Informatica Cloud to load data from multiple data sources into Amazon EMR as the first step in forming a data lake.
Tableau Load, combine, clean and blend data for Tableau from multiple data sources, with a free trial of Informatica Cloud.
Extend the connected data environment by enabling access to multiple data sources and third party systems to deliver a common view of asset information. View Viewpoints.
When we get to creating reports, it's especially useful tohave descriptive table names, especially when we connect to multiple data sources, and they're all listed in the Fields pane of the Report view.
Now, though, data preparation tools are available that enable virtualized access to multiple data sources, making it possible to deliver information promptly and in the appropriate contexts.
AssetWise Enterprise Interoperability Extend the connected data environment by enabling access to multiple data sources and third party systems to deliver a common view of asset information.
A data source view is a shared object that lets you combine multiple data sources and use them as a single source. .
Aligned with BIM, PAS, and ISO asset management standards, AssetWise leverages a connected data environment to facilitate the interoperation of multiple data sources, providing a common view of data that delivers accurate and reliable information when it is needed to operations, maintenance, and engineering.
Blend Data from multiple sources.
Capture, control and analyze data from multiple sources.