Sentence examples for services of the data from inspiring English sources
The team's role was limited to supporting the data needs of the analytics team rather than fulfilling the mandate of "enterprise owner of data". A mechanism to hold operating divisions accountable for utilizing the services of the data and analytics function were not established, resulting in underutilization of the potential of data and analytics.
This includes electrical compatibility and standard-conforming services of the data link layer (e.g., arbitration mechanism, message ordering) [7].
The latter raise the demand for service adapters that are able to work with the backbone services of the data infrastructure (e.g. iRODS, NAGIOS, etc).
By allocating the appropriate quality of service to the data packets that need it most, paid prioritisation has delivered the goods.
Since the objective of this paper is to evaluate the quality of data, standards such as data availability that measure the quality of statistical agency services instead of the data itself are omitted.
As always, the issue of identifying "registered" versus "active" users is delicate, and when it comes to these Chinese microblogging services, much of the data is either unpublished, unreliable, or an estimation.
Our aim is to control all user queues in such a way that the service demands of the data in each queue could be satisfied.
Improvement in the throughput is equivalent to the improvement in the average end-to-end service rate of the data arrived at the BS buffer.
This function is also used for service renegotiation in case changes to the service parameters are requested by the application (e.g., extension of the planned duration, modification of the geographical scope of the service, change of the data gathering rate, etc).
Long time volume will cause the damage of the plastic layer or internal aluminum foil shield and reduce the service life of the data cable.
This virtual machine layer becomes an aggregation layer of services across the data center, across multiple data centers and potentially across internal and external data centers.
