Examples of using Distributed data in English and their translations into Spanish
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Unify and secure access to your distributed data.
Fusion of distributed data and data management.
The F-test is accurate only for normally distributed data.
Frequencies histogram: distributed data as Gaussian bell curve.
The F-test and Bartlett's test are accurate only for normally distributed data.
People also translate
Distributed Data Storage skills wanted for County Dublin.
Amazon S3 is highly durable and distributed data store.
By distributed data we mean that data should be fragmented.
The geodetic reference system of the distributed data is ETRS89 UTM31N.
Normally distributed data are typically measurement data, such as weight.
SOLIDWORKS Manage is the key element in providing Distributed Data Management.
Distributed Data Store: Save your data redundantly in the Tahoe-LAFS cloud over I2P.
The F-test andBartlett's test are accurate only for normally distributed data.
SPSS Maps™ turns your geographically distributed data into high-quality maps with symbols.
Distributed Data Storage and Server Hardware are the main categories within this area.
Seeking Efficient Atomic Implementations of Distributed Data Storage.
Appropriate for distributed data collection in locations lacking IT infrastructure.
It's a high-availability service hosted in globally distributed data centres.
Osiris differs from classic P2P programs in that it is focused on security and distributed data management.
Opportunities in the subcategories Distributed Data Storage and Server Hardware are as of now the most common.
In the Advanced section,specify the folder that the update agent must use to store distributed data.
For most"normally" distributed data, generally almost all of the values will be within three standard deviations of the average.
Projects such as Archie, Gopher, WAIS, andthe FTP Archive list attempted to create ways to organize distributed data.
SOLIDWORKS Distributed Data Management(DDM) tools can organize all this data so it is easy to access across many disciplines and departments.
They may be used for theinvestigation of variance and mapping of spatially distributed data, or for fitting a surface to the data. .
It is frequently used in Bayesian statistics,empirical Bayes methods and classical statistics to capture overdispersion in binomial type distributed data.
When we want to execute some operation on this distributed data, Hadoop is in charge of processing each portion of the data in the node that contains them.
In the absence of distributed data centres, the partial or complete loss of the data centre would seriously impact the mission's ability to continue daily operations.