Sentence examples for data management infrastructure from inspiring English sources
The workflows have been identified, along with a baseline architecture for the data management infrastructure.
This project requires a peculiar data management infrastructure to collect data registered in stations very far from each other and to allow a coordinated analysis.
Thus, the data management infrastructure has to deal with specific challenges regarding the identification, access and aggregation of partitioned data with varying proportions of overlapping sections.
This is followed by an overview of impact analyses to gauge the ROI of investments in data management infrastructure and an overview of cost impacts of poor data quality.
The vast effort, dubbed "Innovate," involved installing a new, Internet-based data management infrastructure for the company that would cover everything from electronic links with suppliers to software for tracking customer purchasing patterns to sensors for remotely monitoring the temperature of fat in french-fry vats.
The case study is a library with municipal offices in Settimo Torinese (Italy), which is the demonstrator of the ongoing Zero Energy Buildings in Smart Urban Districts (EEB) national cluster, which has the main scope to create a data management infrastructure able to integrate heterogeneous networks.
Last year NSF was looking for transformative concepts and approaches to create integrated data management infrastructures across the Geosciences.
Scientists want to focus on their specific research while creating and analysing data without the need to know all the low-level burdens related to the underlying data management infrastructures.
At installation time, the core iTools database configuration properties allow for one of two types of Data Access Object DAOO) resource meta-data management infrastructures – file-system or hibernate.
With the traditional data-management infrastructure, transactions between a party (e.g., an individual or organization) and others often are recorded and stored in data repositories maintained and controlled by the particular party or by central authorities (e.g., government agencies, banks).
A further focus lies on the importance of the data management and infrastructure for the analysis of large areas and long time series of topographic LiDAR data.
