data storage systems

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Published By: Hewlett Packard Enterprise     Published Date: Aug 15, 2016
The increasing demands of application and database workloads, growing numbers of virtual machines, and more powerful processors are driving demand for ever-faster storage systems. Increasingly, IT organizations are turning to solid-state storage to meet these demands, with hybrid and all-flash arrays taking the place of traditional disk storage for high performance workloads. Download this white paper to learn how you can get the most from your storage environment.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Apr 20, 2018
In an innovation-powered economy, ideas need to travel at the speed of thought. Yet even as our ability to communicate across companies and time zones grows rapidly, people remain frustrated by downtime and unanticipated delays across the increasingly complex grid of cloud-based infrastructure, data networks, storage systems, and servers that power our work.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
In an innovation-powered economy, ideas need to travel at the speed of thought. Yet even as our ability to communicate across companies and time zones grows rapidly, people remain frustrated by downtime and unanticipated delays across the increasingly complex grid of cloud-based infrastructure, data networks, storage systems, and servers that power our work.
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Hewlett Packard Enterprise
Published By: Dell EMC & Intel     Published Date: Sep 06, 2018
Datacenter improvements have thus far focused on cost reduction and point solutions. Server consolidation, cloud computing, virtualization, and the implementation of flash storage capabilities have all helped reduce server sprawl, along with associated staffing and facilities costs. Converged systems — which combine compute, storage, and networking into a single system — are particularly effective in enabling organizations to reduce operational and staff expenses. These software-defined systems require only limited human intervention. Code imbedded in the software configures hardware and automates many previously manual processes, thereby dramatically reducing instances of human error. Concurrently, these technologies have enabled businesses to make incremental improvements to customer engagement and service delivery processes and strategies.
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Dell EMC & Intel
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
In an innovation-powered economy, ideas need to travel at the speed of thought. Yet even as our ability to communicate across companies and time zones grows rapidly, people remain frustrated by downtime and unanticipated delays across the increasingly complex grid of cloud-based infrastructure, data networks, storage systems, and servers that power our work.
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Hewlett Packard Enterprise
Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services
Published By: Dell EMC & Intel     Published Date: Dec 12, 2018
Business and IT leaders agree. IT Transformation is critical to compete in the digital economy. Drive innovation and agility, lower costs and speed deployment for real results. Modernise with leading hyper-converged, cloud, data storage, servers, open networking and data protection systems from Dell EMC powered by Intel ® .
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Dell EMC & Intel
Published By: Dell PC Lifecycle     Published Date: May 15, 2018
Windows Server 2016 is an important release in enabling IT to deliver on the promise of the third platform. It provides a path to a seamless, integrated cloud environment—incorporating public, private and hybrid models—with the software-defined data center as the hub. In migrating to this next-generation data center model, it is essential that IT leaders choose the right partner for the compute platform, as well as storage, networking and systems management
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Dell PC Lifecycle
Published By: Pure Storage     Published Date: Jan 12, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
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data, deep learning, automated, intelligence, pure storage
    
Pure Storage
Published By: Pure Storage     Published Date: Nov 02, 2017
The tremendous growth of unstructured data is creating huge opportunities for organizations. But it is also creating significant challenges for the storage infrastructure. Many application environments that have the potential to maximize unstructured data have been restricted by the limitations of legacy storage systems. For the past several years—at least—users have expressed a need for storage solutions that can deliver extreme performance along with simple manageability, density, high availability and cost efficiency.
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high performance, tco, multi protocol, management simplicity, the blade, elasticity software, performance, capacity
    
Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Delphix     Published Date: Feb 28, 2013
Download this paper to learn how a virtual data storage solution can provide a simple and effective way to overcome obstacles and enable rapid deployment of multiple development and test databases against production systems with minimal storage use.
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data management, virtualization, database virtualization, data warehousing
    
Delphix
Published By: NetApp     Published Date: Sep 24, 2013
"As IT continues to implement advanced capabilities, as well as traditional services such as server virtualization, storage systems become more complex. The complexity only increases because of the rapid growth of data that needs to be managed. View this resource to learn the results of ESG Lab hands-on evaluation of NetApp storage systems with a focus on those enterprise-class capabilities required to manage increasingly large and complex storage environments."
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storage infrastructure, clustered storage, technology, scalability, application, storage solution, non-disruptive operations, storage, data center
    
NetApp
Published By: NetApp     Published Date: Sep 24, 2013
"The performance, availability, and data protection associated with tier-1 applications were easy to meet when one application mapped to one server and a dedicated storage system. But to carry these features into a virtual world with pooled, shared storage systems and unpredictable workloads creates new demands. In order to reach an agile state in your business, access this white paper now to gain insight into innovative solutions catered to these new challenging demands."
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performance, availability, data protection, storage systems, virtualization, innovative solutions, technology, netapp, storage, data management, data center
    
NetApp
Published By: NetApp     Published Date: Sep 30, 2013
"Today’s data centers are being asked to do more at less expense and with little or no disruption to company operations. They’re also expected to run 24x7, handle numerous new application deployments and manage explosive data growth. Data storage limitations can make it difficult to meet these stringent demands. Faced with these challenges, CIOs are discovering that the “rip and replace” disruptive migration method of improving storage capacity and IO performance no longer works. Access this white paper to discover a new version of NetApps storage operating environment. Find out how this software update eliminates many of the problems associated with typical monolithic or legacy storage systems."
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storage infrastructure, clustered storage, technology, scalability, application, storage solution, storage, data center
    
NetApp
Published By: Amazon Web Services     Published Date: Oct 09, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
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cost effective, data storage, data collection, security, compliance, platform, big data, it resources
    
Amazon Web Services
Published By: Oracle     Published Date: Jan 28, 2019
Databases tend to hold an organization’s most important information and power the most crucial applications. It only makes sense, then, to run them on a system that’s engineered specifically to optimize database infrastructure. Yet some companies continue to run their databases on do-it-yourself (DIY) infrastructure, using separate server, software, network, and storage systems. It’s a setup that increases risk, cost, complexity, and time spent deploying and managing the systems, given that it typically involves at least three different IT groups.
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Oracle
Published By: IBM APAC     Published Date: Mar 19, 2018
Unstructured data has exploded in volume over the past decade. Unstructured data, media files and other data can be created just about anywhere on the planet using almost any smart device available today. As the amount of unstructured data grows exponentially, customers using this data need to be able to take advantage of the right storage solutions to support all of their file and object data requirements. IBM® recently added a new storage system to their Spectrum product family, IBM Spectrum Network Attached Storage (NAS). IBM Spectrum NAS adds another software-defined file storage system to IBM’s current unstructured data storage solutions, IBM Spectrum Scale™ and IBM Cloud Object Storage (COS). Below, we will discuss the three systems and supply some guidance on when and where to use each of them.
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IBM APAC
Published 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).
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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.
Published By: NetApp     Published Date: Dec 15, 2014
Organizations of all kinds rely on their relational databases for both transaction processing and analytics, but many still have challenges in meeting their goals of high availability, security, and performance. Whether planning for a major upgrade of existing databases or considering a net new project, enterprise solution architects should realize that the storage capabilities will matter. NetApp’s systems, software, and services offer a number of advantages as a foundation for better operational results.
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database, transaction processing, analytics, enterprise solution architects, storage capabilities, storage
    
NetApp
Published By: Pure Storage     Published Date: Dec 05, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
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Pure Storage
Published By: HP     Published Date: Jul 29, 2008
The data residing on your storage systems and media, data-at-rest, presents serious security concerns. Regulations and various mandates around the world are putting the burden on companies and government entities to protect the private information they store. Increasingly, companies are being required to publicly disclose breaches that put individuals private data at risk, be it a customer, employee, shareholder, partner, or other stakeholder.
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data security, database security, securing data, customer data, consumer data, pci, cardholder data, mission critical
    
HP
Published By: F5 Networks Inc     Published Date: Jan 22, 2009
F5 and Data Domain have joined their respective solutions, forming a partnership designed to assist customers in deploying and realizing the benefits of tiered storage. By combining F5’s tiered storage policy engine with Data Domain deduplication storage systems, mutual customers can realize the benefits of deploying tiered storage and, importantly, see dramatic reductions in the costs of storage.
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data domain, curb storage costs, file servers, tiered storage, deduplication storage systems, storage
    
F5 Networks Inc
Published By: VMware/Intel Server Refresh and Cost Savings     Published Date: Jan 27, 2009
Frustrated by the costs of maintain ever larger data centers-or building new ones-many companies are exploring virtualization. Virtualization lets your IT staff turn your data center into an internal cloud of computing resources controlled by a single virtual data center operating system (VDC-OS).
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vmware, virtualization, server virtualization, data center, fc san, fibre, networkattached storage, nas, nic, high availability, vmware consolidated backup, vcb, vdc os, tco, total cost of ownership, vstorage, distributed power management, dpm, management information systems, mis
    
VMware/Intel Server Refresh and Cost Savings
Published By: VMware/Intel Server Refresh and Cost Savings     Published Date: Oct 23, 2007
Today's use of virtualization technology allows IT professionals to automatically manage the resources of the physical server to efficiently support multiple operating systems, each supporting different applications. This IDC Technology Assessment presents IDC's view of how virtualization technologies are impacting and will continue to impact operating environments and the operating environment market near- and long-term.
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vmware, operating environments, virtualization, x86, server virtualization, data center, fc san, fibre, networkattached storage, nas, nic, high availability, vmware consolidated backup, vcb, vdc os, tco, total cost of ownership, vstorage, distributed power management, dpm
    
VMware/Intel Server Refresh and Cost Savings
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