data grid

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By: NetApp     Published Date: Dec 14, 2013
Read how the NetApp Distributed Content Repository Solution is an efficient and risk-reducing active archive solution. Based on customer data, Forrester created a composite organization and concluded that the NetApp Distributed Content Repository delivered a three year ROI of 47% with a payback period of 1.3 months. The key benefits are reduced risk of losing unregulated archived data, denser storage, storage solution efficiency, and compliance for regulated data. The study also provides readers with a framework to do their own financial impact evaluation. Source: The Total Economic Impact Of The NetApp Distributed Content Repository Solution (StorageGRID On E-Series), a commissioned study conducted by Forrester Consulting on behalf of NetApp, March 2013.
Tags : forrester tei
     NetApp
By: IBM     Published Date: Sep 02, 2014
With tougher regulations and continuing market volatility, financial firms are moving to active risk management with a focus on counterparty risk. Firms are revamping their risk and trading practices from top to bottom. They are adopting new risk models and frameworks that support a holistic view of risk. Banks recognize that technology is critical for this transformation, and are adding state-of-the-art enterprise risk management solutions, high performance data and grid management software, and fast hardware. Join IBM Algorithmics and IBM Platform Computing to gain insights on this trend and on technologies for enabling active "real-time" risk management.
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     IBM
By: GridGain     Published Date: Mar 10, 2015
Software as a Service (SaaS) is a software distribution model in which applications are hosted by a vendor or service provider and made available to customers over the Internet. Instead of companies installing software on their own servers, known as the on premises distribution model, application software providers host the software in the cloud and charge customers according to the time they spend using the software, or based on a monthly or annual fee. SaaS is becoming increasingly popular, and as the industry develops, more and more companies are dropping older business models in favor of this rapidly evolving methodology.
Tags : gridgain, saas, saas perfomance and scalability, in memory computing, data fabric, paas for saas, data grid, real-time streaming, hadoop
     GridGain
By: PernixData     Published Date: Jun 01, 2015
In this webinar, PernixData Product Manager, Todd Mace, is joined by Anthony Spiteri, the lead architect at Cloud provider Zettagrid, to discuss how PernixData FVP software became an integral part of Zettagrid’s infrastructure and offloaded millions of IOs from the SAN to improve application performance and user satisfaction.
Tags : pernixdata, storage, software
     PernixData
By: Vectra Networks     Published Date: Aug 03, 2015
Learn how Vectra protects Tri-State’s corporate and subscriber data and prevents cyberattacks to the power grid.
Tags : utilities provider, cyberattack detection, vulnerability management, security management, it security, security solution, network breaches, false threats, real-time insights, critical infrastructure, ids, ips
     Vectra Networks
By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
Tags : it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
     Red Hat, Inc.
By: Red Hat, Inc.     Published Date: Jul 10, 2012
Is data changing the way you do business?Is it inventory sitting in your warehouse? The good news is data-driven applications enhance online customer experiences, leading to higher customer satisfaction and retention, and increased purchasing.
Tags : it planning, data, data-driven applications, data challenges, data solutions, big data solutions, big data challenges, in-memory databases, web-abpplications, in-memory data grid, nosql, storage nodes, e-commerce applications, social applications, logisitcs applications, trading applications, data scaling, rest, memcached, hot rod
     Red Hat, Inc.
By: Oracle     Published Date: Apr 04, 2012
The Oracle Database Appliance is a new way to take advantage of the world's most popular database-Oracle Database 11g-in a single, easy-to-deploy and manage system. Find out more in this white paper!
Tags : oracle, apm, enterprise manager, java ee, soa, data grid, application grid, soa, service-oriented architecture, web services, clustered caching, oracle coherence
     Oracle
By: Oracle     Published Date: Apr 04, 2012
IT departments are always being asked to deliver more for less. SOA has garnered widespread attention because it promises to do just that - deliver more business benefit while reducing costs. This is why Oracle has developed a pragmatic approach.
Tags : oracle, apm, enterprise manager, java ee, soa, data grid, application grid, soa, service-oriented architecture, web services, clustered caching, oracle coherence
     Oracle
By: Landis + Gyr     Published Date: Mar 17, 2016
The rapid acceleration of Distributed Energy Resources (DER) presents a range of challenges for electric utility management. The good news is that a strategic approach, one that taps the power of data analytics, can meet the rising need to manage DER. Download this white paper, to learn about the current state of DER and how to get started with a smart grid analytics solution: • Cost-benefit analysis • Challenges of integrated DERs • Planning considerations • Advanced analytics tools and predictive grid analytics benefits • Choosing a platform
Tags : cost-benefit analysis, der, analytics, platform, utility, smart grid
     Landis + Gyr
By: Ciena     Published Date: Nov 15, 2016
"In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow. This white paper describes the key factors and technologies to consider when building a private network for healthcare sector enterprises, including: Transport Network Equipment Outside Fiber Plant Converged Platforms Reliability, Redundancy, and Protection Reconfigurable Networks Management Software Security Services, Operation, Program Management, and Maintenance Download our white paper to learn more."
Tags : packet networking, packet networking portfolio, packet optical hie network, packet-optical transport, patient data security, private and hybrid cloud, private optical network for healthcare, private optical network for hospitals, rapidly growing bandwidth, real-time telesurgery video and data, remote imaging and diagnosis, simplify healthcare network operations, telehealth and telemedicine, telesurgery and video diagnosis, transfer massive imaging files, transmitting full-body mri images, transmitting genome data, transport network equipment, value-based care models, wan and lan convergence reduces
     Ciena
By: Raritan Inc.     Published Date: Mar 19, 2009
Learn what instrumentation helps calculate your data center power efficiency and how to set standards to align with the Green Grid.
Tags : raritan, power, processing, instrumentation, green, green computing, efficiency, power load, it equipment, pts, datacenter, cooling
     Raritan Inc.
By: HP Data Center     Published Date: Feb 18, 2009
The recent release of the Environmental Protection Agency (EPA) study on data center energy efficiency is adding fuel to the fire in the research and development of new ways to reduce energy use in centers. The findings, summarized on the EPA website, are staggering: Data centers consumed about 60 billion kilowatt-hours (kWh) in 2006, roughly 1.5 percent of total US electricity consumption -Energy consumption of servers and data centers has doubled in the past five years and is expected to almost double again in the next five years to more than 100 billion kWh, costing about $7.4 billion annually.
Tags : green data centers, epa, hp data center, energy consumption, server rack consumption, environmental protection agency, digital power, leed rating system, green grid, engineering economic principles, it hardware productivity, efficient site infrastructure, cooling, voc, co2 emissions, operational continuity, lifecycle cost, environmental impact, it effectiveness, power usage effectiveness
     HP Data Center
By: HP and AMD     Published Date: Nov 16, 2011
With the launch of its new Data Center Smart Grid, HP continues to push the boundaries of what its technology can deliver. Find out more now!
Tags : data center, tco, total cost of ownership, power and cooling, cool, power, data center, infrastructure, consumption, thermal logic
     HP and AMD
By: HP and AMD     Published Date: Nov 30, 2011
HP Thermal Logic represents a step forward in thinking about and managing the energy consumption of today's datacenter. Find out more now!
Tags : network, edge, core, datacenter, energy, energy consumption, smart grid, data center, efficiency, energy efficiency, infrastructure
     HP and AMD
By: HP SAS     Published Date: Sep 24, 2008
Designed for CIOs, IT managers, data center managers and grid computing architects seeking to improve performance, SAS Grid Computing on the HP BladeSystem. C-Class helps accelerate growth and mitigate risks with a simplified, consolidated infrastructure that’s agile enough to efficiently handle change. SAS Grid Manager on HP BladeSystem can lower costs through automation, virtualization and improved IT efficiency.   Download  HP's "Quick Sizing Guide for SAS Grid running on HP BladeSystem and EVA Storage" to learn more about the equipment needs to deploy SAS Grid Manager on HP BladeSystem.
Tags : hewlett packard, bladesystems, grid manager, grid computing, polyserve matrix, eva storage
     HP SAS
By: HP SAS     Published Date: Oct 15, 2008
SAS Grid Computing delivers enterprise-class capabilities that enable SAS applications to automatically leverage grid computing, run faster and takes optimal advantage of computing resources. With grid computing as an automatic capability, it is easier and more cost-effective to allocate compute-intensive applications appropriately across computing systems. SAS Grid Manager helps automate the management of SAS Computing Grids with dynamic load balancing, resource assignment and monitoring, and job priority and termination management.
Tags : grid computing, sas grid computing, increase compute hardware, it infrastructure, enterprise computing infrastructure, data integration, grid monitoring, grid management
     HP SAS
By: Microsoft     Published Date: Jul 20, 2018
At its Build conference in May, Microsoft took the wraps off Cosmos DB, the new incarnation of its existing cloud-based Azure DocumentDB NoSQL database. With a nod to the dramatic, Microsoft terms Cosmos DB as its biggest database bet since SQL Server; it is positioning it as its flagship cloud database, suited for use cases ranging from security and fraud detection, to IoT (consumer and industrial), personalization, e-commerce, gaming, social networks, chats, messaging, bots, oil and gas recovery and refining, and smart utility grids. Cosmos DB is a good example of how cloud platform providers are rethinking databases for scalable, elastic environments and commodity infrastructure. The platform that is most comparable is Google Cloud Spanner, but each of these databases is engineered for different purposes: Cosmos DB as a globally distributed operational database and Spanner as a globally distributed SQL-supporting OLTP database. The highlights of Cosmos DB include its flexibility in
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     Microsoft
By: IBM     Published Date: Jul 27, 2015
Read this issue to learn how to tap into the massive amounts of data and information across your organization.
Tags : cloud-based data management, sustainability energy, future of energy, data analytics, utility analytics, grid optimization, advanced analytics integration, cloud-based services
     IBM
By: IBM     Published Date: Oct 03, 2017
The demand for new data about customers, customer behaviour, product usage, asset performance, and operational processes is growing rapidly. Almost every industry wants new data. Some examples of this are: • Financial services organisations want more data to improve risk decisions, for ‘Know Your Customer (KYC) compliance and for a 360 degree view of financial crime. • Utilities companies want smart meter data to give them deeper understanding of customer and grid usage and to allow them to exploit pricing elasticity. They also want sensor data to monitor grid health, to optimise field service and manage assets. Download now to learn more!
Tags : scaling data, big data, customer behavior, product usage, data integration
     IBM
By: IBM     Published Date: May 30, 2008
This white paper, authored by industry analyst IDC, explores the problems confronting IT organizations today as they seek to bring data together from disparate sources in order to achieve better information coherence, operational efficiency, and more effective overall governance. Specifically, the paper considers the problems posed by the complexity of "data integration" technology in terms of its configuration and maintenance. It looks at the utility of a grid computing approach in providing scalability and manageability for "data integration" and considers how an appliance approach can further reduce cost and risk for customers.
Tags : information management, data integration, blade server, ibm, leveraging information, ibm li, li campaign
     IBM
By: Quocirca     Published Date: Sep 07, 2007
From humble roots in basic provisioning, data center automation has grown in response to years of unbridled server proliferation, and is now transforming the enterprise data center.
Tags : dca, data center automation, bpa, business process automation, servers, server, network management, data center, datacenter, data centre, infrastructure, grid computing, utility computing, quocirca
     Quocirca
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