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This is due to the differences in the data models and types of MongoDB and Riak as highlighted in Table 1 above.
Due to differences in the data models of the analyzed column-family stores, the use cases for this category will be discussed in two groups.
There is significant heterogeneity in the data models and storage formats of the databases and the interfaces provided to access the data.
Finally, to assess and correct for overdispersion, or extra-Poisson variation in the data, models were repeated using negative Binomial models (i.e. an overdispersed Poisson distribution).
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The inclusion of both data views results in the data modeling being a hybrid of two conceptual design models.
We formulate this as a schema matching problem, finding appropriate paths in the data model for each required visualization attribute in a visualization template.
Since the Galex image is large - almost 4000 pixels square, as shown below - we take advantage of the CIAO binning support in the Data Model to re-bin the image by a factor of 4 on each axis.
These two areas are clearly separated in the data model.
This can be explained with the error in the data model we use as we reported in [31].
First, let us present modifications in the data model, which should be considered to apply the FBA.
However, designing the data access pattern and the queries to be executed against the data are more valuable in the data model design [17].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com