Sentence examples for enterprise layer from inspiring English sources

The enterprise layer is found at the top of the network hierarchy, and provides communication between conventional computers, which are used for applications such as e-mail and database applications.

In summary, this paper uses Methods, Processes, and existing Technologies (MPTs) in systems engineering (SE) and extends them to SOS perspective to help provide an end-to-end life cycle view of a fully functional energy Smart Grid system; in addition, we complement the NIST reference model with an Enterprise layer to address specific enterprise strategies.

The framework uses a standard enterprise layer architecture (i.e. web layer, application layer, service layer, business, and data layers) to identify components, and map compliance policies to corresponding Cisco products.

What will likely emerge is a hybrid or polyglot architecture, with varying frameworks customized to utilize blockchain differently at IoT's edge, platform and enterprise layers.

MRB is the front-end of a relational, fully normalized PostgreSQL database, and is a typical Java EE application that follows the MVC architectural pattern, generating three transparent layers: the Enterprise JavaBeans (EJB) layer, the intermediate Session layer and the interface/web layer.

There is an Enterprise AI Layer for setting up the model in any public or private cloud.

Similar to the enterprise infrastructure layer to support new applications, novel enabling technologies have emerged to support the space 2.0 ecosystem.

Meanwhile, Slack is pushing to become an enterprise identity layer with its "Sign In With Slack" feature for other corporate tools.  .

"So, instead of learning to use Nitrous.IO, developers use tools that they are already familiar with while benefiting from an enterprise grade layer of automation, manageability, and collaboration".

An enterprise data layer of this sort creates maximum flexibility — space needed to have new data stores for the new world and clean up the old data world as the business moves forward.

As demand for useful insights has grown, a leading big-box retailer developed a sophisticated analytics environment, in which each layer — enterprise, business unit and point of need — complements rather than duplicates the specialized skills each location delivers.