Sentence examples for interconnecting data from inspiring English sources

The major components of the Mk38 Gun Fire Control System (GFCS) were the Director, Plotting Room, and interconnecting data transmission equipment.

Interconnected data – smart, not big – is being used to enhance and encourage footfall.

This level of data integration could eventually point the way toward something like the Semantic Web, the much-promoted — but so far unrealized — vision of a Web of interconnected data.

Apple is in a steep learning curve in a, new to them, industry that demands an elite level of precision over large amounts of interconnected data.

Highly interconnected data, because all relationships need to be explicitly handled in the client applications.

Graph databases are specialized in handling highly interconnected data and therefore are very efficient in traversing relationships between different entities.

Earlier this month, Kolind told me that YouNoodle is going from being "mostly a technology company focused on just serving the folks that host the competitions" to an "interconnected data company," and that YouNoodle Live is part of that shift.

Finally, it is essential to recognize that key-value data stores have limitations when dealing with: Highly interconnected data, because all relationships need to be explicitly handled in the client applications.

With the rapid growth of data center services, the elastic optical network is a very promising networking architecture to interconnect data centers because it can elastically allocate spectrum tailored for various bandwidth requirements.

The cognitive architecture required for the transfer of imagery into conscious awareness requires interacting connectionist memory processes, similar to AI models in which memory is based on patterns of activation over a series of interconnected data storage nodes organized in an attention-focused goal-based fashion.

It could be defined as the analysis, interpretation and integration of biological information, primarily to add value by annotating and interconnecting research data and results within a common biological framework (1).