Sentence examples for complex data model from inspiring English sources
For example: I wonder what the display of the UC Berkeley budget would look like if mapped using the "complex data model" link provided, which goes to the City of Oakland two-year budget.
All of that gets plugged into a complex data model that we've built.
Such tracking would require a more complex data model than currently exists, and is not considered a sufficiently important requirement based on the lack of use cases for this functionality.
The PAZAR database has a more complex data model, which allows rich annotation of the evidence underlying each TFBS, as well as a full description of the TFBS (conditions, interacting TFs, cell types, and so on) [ 39].
In its absence, they have been forced to develop ad hoc solutions and data models for importing and representing genome data from Ensembl either directly accessing the raw MySQL datasources (which have an extremely complex data model) or retrieving data from Web Service calls to Ensembl BioMart and converting the raw data to the user's own genetic data model.
This new era, based on more complex data models, has the potential to permeate into many areas of life.
Refinement in complex data models is difficult due to lack of a way of defining constraints, which can be progressively maintained over increasingly detailed refinements.
In particular, the RooFit package allows the user to perform complex data modeling and fitting while the RooStats library provides abstractions and implementations for advanced statistical tools.
However, existing management systems, which refer to flexible yet large and complex data models, provide a limited support to define and select relevant KPIs for the objectives at hand, and even the identification of whether and how the data model is capable to achieve a certain informative need is a critical and time-consuming task.
Finally, MongoDB's document data model ensures data locality, reducing the number of disk IO's required for complex data models, which is critical for providing high-performance.
"Essentially what we do is we take text, that's language in text format, and we turn it into quite complex data models using a combination of technologies.
