Big Data Storage for Healthcare
Based on a distributed architecture and softwaredefined storage model, capacities can be scaled horizontally and relocated at any time.
Based on a distributed architecture and softwaredefined storage model, capacities can be scaled horizontally and relocated at any time. These capabilities are especially well suited for big data storage scenarios such as healthcare, manufacturing, data warehousing, retail and financial services, and other industries where large amounts of data are used to find insights and trends at scale that would be otherwise difficult or impossible to find.
Corporate Office Files Sharing
Enterprise employees need to access and share data sets.
Enterprise employees need to access and share data sets. With EdgeRay ES, administrators can create a NAS file system to provide data access for individuals in the organization, and control access through file- and directorylevel user and user group permissions.
Log Storage and Data Analysis
EdgeRay ES can aggregate application server logs on multiple nodes within a shared file storage to facilitate subsequent centralized log processing and analysis.
EdgeRay ES can aggregate application server logs on multiple nodes within a shared file storage to facilitate subsequent centralized log processing and analysis.
Load Balancing Shared Storage
In scenarios where a load balancer is connected to multiple back-end cloud servers,
In scenarios where a load balancer is connected to multiple back-end cloud servers, applications on the cloud servers store data on a shared NAS to achieve true data sharing and ensure a high level of availability on the load balancing server.
Big Data Storage for Healthcare
Based on a distributed architecture and softwaredefined storage model, capacities can be scaled horizontally and relocated at any time.
Based on a distributed architecture and softwaredefined storage model, capacities can be scaled horizontally and relocated at any time. These capabilities are especially well suited for big data storage scenarios such as healthcare, manufacturing, data warehousing, retail and financial services, and other industries where large amounts of data are used to find insights and trends at scale that would be otherwise difficult or impossible to find.
Corporate Office Files Sharing
Enterprise employees need to access and share data sets.
Enterprise employees need to access and share data sets. With EdgeRay ES, administrators can create a NAS file system to provide data access for individuals in the organization, and control access through file- and directorylevel user and user group permissions.
Log Storage and Data Analysis
EdgeRay ES can aggregate application server logs on multiple nodes within a shared file storage to facilitate subsequent centralized log processing and analysis.
EdgeRay ES can aggregate application server logs on multiple nodes within a shared file storage to facilitate subsequent centralized log processing and analysis.
Load Balancing Shared Storage
In scenarios where a load balancer is connected to multiple back-end cloud servers,
In scenarios where a load balancer is connected to multiple back-end cloud servers, applications on the cloud servers store data on a shared NAS to achieve true data sharing and ensure a high level of availability on the load balancing server.