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Additionally, this survey includes different data stores than the existing surveys [11 14].
Different data stores offer different APIs and interfaces to interact with them.
This section discusses some general guidelines that can be used in this task and shows examples of applications that use different data stores.
Establishing a benchmarking standard would help in comparing different data stores with a view to selecting one for a particular application.
The different data stores might also have different data models (i.e., different data definition and structuring means), or no explicit data model at all.
Sadalage and Fowler [15] use the term polyglot persistence to refer to the use of different data stores for different purposes within the same application.
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It also made a failed attempt to launch Google Health, a different data-storing effort.
Accessing and manipulating data stored in different data storage systems such as databases, Grid data management or file systems within the context of a single use case can be difficult and time-consuming.
Two sources might use a totally different data model to store similar data so that merging them is non-trivial.
This, however, remains an on-going challenge, as information is often expressed in different data representations and stored in disparate locations and formats.
Blue Insight will gather information from nearly 100 different information warehouses and data stores, providing analytics on more than a petabyte (1,000 terabytes or 1,000,000 gigabytes) of data.
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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