Examples of using Centralized data in English and their translations into Korean
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Centralized Data Processing Activities.
Cross-platform file sharing, centralized data storage.
Centralized data storage, backup and management.
Cross-platform file sharing, centralized data storage.
Centralized data storage across multiple platforms.
Of today's data is created and processed in centralized data centers.
Fourth, centralized data will become a key strategic advantage.
Pentaho Data Integration was used to establish a centralized data warehouse to quickly extract, transform and load data. .
Centralized data authentication, access control, and policy enforcement.
GINT Professional Plus adds Microsoft SQL Server support for efficient, centralized data management and powerful multi-project reporting.
Virtualization Ready, centralized data storage, backup, sharing and disaster recovery Breakthrough performance.
GINT Professional Plus takes gINT to the next level with SQL Server support for efficient, centralized data management and powerful multi-project reporting.
CSCS Needed a Centralized Data Warehouse Hitachi Vantara.
When the bank decided to roll out consumer online banking services to its customers worldwide, it decided again to use a centralized data- center approach and leverage Akamai.
Increase productivity with centralized data management and reporting for geotechnical subsurface projects.
Thin clients are inherently easier than PCs to configure and update as regulatory mandates evolve- patches andupdates are applied directly to the cloud infrastructure, and automatically propagated to virtual desktops in the centralized data center.
Achieve efficient, centralized data management and powerful multi-project reporting with gINT Professional Plus.
To ensure the governance and accessibility of this data, IT needs to create a centralized data hub for better management, use and protection of their data. .
Traditional centralized data management services usually use database systems such as MySQL or Redis to execute CRUD operations of data. .
Load balancing is an IT discipline that involves distributing requests over multiple web or file servers, either within a centralized data center or distributed geographically, in order to avoid a situation where a single server becomes overwhelmed by web traffic load.
With a secure and centralized data repository, everyone in the organization can be confident that data is correct, up to date, and complete.
To provide actionable performance insights to administrators, SQL Server 2008 delivers more extensive performance data collection, a new centralized data repository for storing performance data and new tools for reporting and monitoring.
GINT provides centralized data management and reporting for subsurface projects of all types, including geotechnical, geoenvironmental, geophysical, petroleum, mining, and more.
Santhosh Rao, Gartner's principal research analyst, commented that“currently,around 10 percent of enterprise-generated data is created and processed outside a traditional centralized data center or cloud… By 2022, Gartner predicts this figure will reach 50 percent.”.
GINT Bentley's gINT software provides centralized data management and reporting for geotechnical subsurface projects of all types.
As the user interacts with CP/C, completing patient visits, modifying patient care plans, performing assessments,prescribing medications, the patient's medical record is modified accordingly, relayed back to the centralized data storage server and synchronized with changes in the patient's medical information record made by other care provider users.
Two models have been used to satisfy this problem: a centralized data server solution, and a peer-to-peer file synchronization program(as has been developed for other peer-to-peer networks).
Offering centralized data protection management with comprehensive reporting, monitoring, and analysis for physical and virtual environment, the Suite for Backup provides reduced management time and lower overall TCO.
Using standard CDISC data formats,JMP Clinical allows centralized data monitoring teams to evaluate risk efficiently with an easy-to-use dashboard, reliable statistics and intuitive visualization.