In storage technology, data deduplication essentially refers to the elimination of redundant data. In the deduplication process, duplicate data is deleted, leaving only one copy of the data to be stored. However, indexing of all data is still retained should that data ever be required. Deduplication is able to reduce the required storage capacity since only the unique data is stored.
SimpliVity’s Data Virtualization Platform (DVP) leverages real-time deduplication, compression and optimization technologies to deliver a radically simplified and dramatically lower cost infrastructure platform. Get the full report for an overview of SimpliVity’s OmniCube: Cloud economics with enterprise performance, protection, and functionality.
SimpliVity's true hyperconverged infrastructure solution helped Waypoint Capital consolidate their data center. After implementing 2U OmniCube systems, they were able to immensely reduce their IT complexity, increase performance, and dramatically improve their operational efficiency.
SimpliVity’s Data Virtualization Platform (DVP) is the market-leading hyperconverged infrastructure that delivers triple digit data efficiency rates. The DVP was designed from the ground up to simplify IT by solving the data problem and dramatically improving overall data efficiency.
University of East Anglia wished to create a “green” HPC resource, increase compute power and support research across multiple operating systems. Platform HPC increased compute power from 9 to 21.5 teraflops, cut power consumption rates and costs and provided flexible, responsive support.
The term “Big Data” has become virtually synonymous with “schema on read” unstructured data analysis and handling techniques like Hadoop. These “schema on read” techniques have been most famously exploited on relatively ephemeral human-readable data like retail trends, twitter sentiment, social network mining, log files, etc.
In any storage system it is essential to ensure that the integrity of the data stored is maintained so data can be recovered exactly as it was written. HP StoreOnce appliances have been designed with the necessary technology that delivers this essential high degree of data protection. HP has unique technology that protects data throughout its lifecycle when stored on the HP StoreOnce appliance. This paper will discuss the methods used at various stages to provide this high degree of data integrity.
This book examines data storage and management challenges and explains software-defined storage, an innovative solution for high-performance, cost-effective storage using the IBM General Parallel File System (GPFS).
With an estimated 1.8 million branch offices in the US, not only is critical data being dispersed across the enterprise, but also applications. Organizations have invested in monitoring tools to help assure network and application performance, but do these tools have the visibility across the network to deliver real-time insights?
A Gigamon Visibility Fabric™ solution can extend visibility wherever critical data may exist. It eliminates the need to facilitate resources for troubleshooting and the need to install monitoring tools at every remote site. By doing so, it simplifies IT operations and centralizes monitoring tools that can reduce OPEX and CAPEX.
Simplifying IT operations by centralizing monitoring tools and connecting them into a Gigamon Visibility Fabric™ can reduce OPEX and CAPEX. These monitoring tools include systems used for application performance management (APM), customer experience management (CEM), data loss prevention (DLP), deep packet inspection (DPI), intrusion detection systems (IDS), intrusion prevention systems (IPS), network performance management (NPM), network analysis, and packet capture devices. This white paper explains how this new approach to monitoring and management of IT infrastructure provides pervasive visibility across campus, branch, virtualized and, ultimately, SDN islands.