Sentence examples for the deployment of data from inspiring English sources

STI is the kind of company that reminds me of the work IBM is doing with the deployment of data networks across public infrastructure, such as Washington D.C.'s municipal water system.

Meanwhile, proceeding from the actual demand of the deployment of data communication software, the adoption of writing parallel data based on the multi-threading technology can better solve the problem of delay processing of data communication.

A large number of data sets, the complexity of procedures and the need of sharing of information in various points on the planet with adequate check and security of shared information required the deployment of data management systems and processes.

High performance communication support is a critical aspect for modern Grid environments where the deployment of data-intensive applications often requires moving Petabytes of data between geographically distant data repositories in specific time ranges.

Australia's strategy increased the deployment of data-driven solutions in the Australian public sector leading to initiatives like the Australian Taxation Office trawling through records to find evidence on the use of tax havens, and data matching to identify small online retailers that are not meeting their compliance obligations.

These data are also a valuable source for the deployment of big data businesses.

Understanding these basic technologies is necessary for the deployment of developing data grid computing.

Secondly, if the delay is found to be excessive, we suggest the deployment of some data kiosks in the environment to better support the dissemination of content.

The forefront deployment of data preprocessing methods in the big data knowledge discovery process requires new, efficient, robust, scalable, and optimized preprocessing techniques for both historical and streaming big data.

The tireless deployment of data mining also results to market interventions that lead to similar revolutionary developments in the product and marketing life cycle.

We have implemented this idea for the deployment of ontology-based data access (OBDA) solutions, where semantically annotated views that integrate multiple data sources on different formats are created, based on an ontology and a collection of mappings.