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Data Grid

Definition - What does Data Grid mean?

A data grid is a set of structured services that provides multiple services like the ability to access, alter and transfer very large amounts of geographically separated data, especially for research and collaboration purposes. Data from different regions are pulled from administrative domains which filter data for security purposes, and present it to the user upon request by means of a middleware application.

Techopedia explains Data Grid

Developed data grid middleware makes each data grid unique since it controls the integration between the user and the data they requested. The middleware provides all the necessary services and tools that will make the management of data and files within the data grid more efficient while also while providing users fast and accurate access to the requested information. Different instances of middleware don’t have the same specifications since they differ entirely in access requirements, security and resource locations based on the organization using them, however, most will have similar middleware services such as:

  • Universal name space
  • Data transport service
  • Data access service
  • Data replication; and
  • Resource management service (RMS)

Data-driven applications score big time in terms of user experience, satisfaction, preservation and costs, though in this generation, the growth of technological advances are accelerating. This growth serves as an obstacle for application developers to implement services that can satisfy end users which is why Red Hat, as an example, incorporated the data grid structure. Adding several abilities to handle or access large accurate volumes of data in real time, meet high uptime requirements, store into hybrid cloud environments and interact with complex data tiers are only some of the benefits of data grids.

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