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Technical overview of HPE 3PAR File Persona Software technical white paper

Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Today’s data centers are expected to deploy, manage, and report on different tiers of business applications, databases, virtual workloads, home directories, and file sharing simultaneously. They also need to co-locate multiple systems while sharing power and energy. This is true for large as well as small environments. The trend in modern IT is to consolidate as much as possible to minimize cost and maximize efficiency of data centers and branch offices. HPE 3PAR StoreServ is highly efficient, flash-optimized storage engineered for the true convergence of block, file, and object access to help consolidate diverse workloads efficiently. HPE 3PAR OS and converged controllers incorporate multiprotocol support into the heart of the system architecture
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Hewlett Packard Enterprise

Nimble Storage: Redefining the standard for system availability - How Nimble Storage uses predictive

Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Businesses in every sector are increasingly reliant on applications to handle everything from back-end operations to the delivery of new products, services, and customer experiences. That is why infrastructure system availability and the elimination of unplanned downtime are more important than ever before. Recent research has shown that the average cost of an hour of downtime is about half-a-million dollars,1 and this will only increase with the continued digitization of industries.
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Hewlett Packard Enterprise

Meeting today’s data demands with IBM Spectrum NAS (Network Attached Storage)

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

Worldwide All-Flash Array 2017 Vendor Assessment

Published By: Pure Storage     Published Date: Mar 15, 2018
The all-flash array (AFA) market has undergone significant maturation over the past two years. A high percentage of customers have already committed to an "all flash for primary storage" strategy, and every customer interviewed for this study was among those. In 2017, AFAs will drive over 80% of all primary storage revenue. All of the established storage vendors have entered this space, and there are several start-ups with over $100 million in revenue. With this level of market maturation, multiple segments have developed within the primary flash array space. There are systems targeted for dedicated application deployment, there are systems specifically for web-scale applications, and there are systems intended for dense mixed workload consolidation. These latter systems are driving most of the AFA revenue, and they aspire to become the primary storage platforms of record for enterprises of all sizes. This study evaluates the suitability of 10 vendors' AFA platforms for dense mixed ent
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Pure Storage

Statistics and Machine Learning at Scale: New Technologies Apply Machine Learning to Big Data

Published By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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SAS

Flash Architecture Comparison: NetApp AFF vs. Dell EMC XtremIO

Published By: NetApp     Published Date: Mar 05, 2018
This architecture comparison examines five essential criteria to consider when evaluating flash arrays. Find out the key design differences between the Dell EMC X2 and NetApp AFF flash storage systems and how they compare in terms of scalability, quality of service, application integration, future-proof architecture and cloud integration.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp

Solid-State Array TCO Reality Check

Published By: NetApp     Published Date: Mar 05, 2018
Are solid-state arrays (SSAs) worth the extra cost? This independent report, based on end-user surveys and inquires, finds that SSA deployments provide a positive ROI after within months. Discover why Gartner strongly advises that SSAs be considered whenever legacy storage systems need to be replaced.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp

New Frontiers in Solid-State Storage

Published By: NetApp     Published Date: Mar 05, 2018
New innovations in storage technology are changing the game for data centers, and NetApp is working to help our customers capitalize on them. The introduction of faster and faster media types and more efficient mechanisms to access those media across well-defined SAN and Ethernet infrastructures will unlock unprecedented speeds, lower latencies, and dramatic improvements in system and application efficiency.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp

Modern, Cloud Conscious Approaches to Data Protection

Published By: Cloudian     Published Date: Feb 21, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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Cloudian

Modern, Cloud Conscious Approaches to Data Protection

Published By: Cloudian     Published Date: Feb 15, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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Cloudian

Modern Storage Accelerates Data Insights, Speeding Innovation

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

Considerations for the Next Phase of Hyperconverged Infrastructure

Published By: Cisco     Published Date: Dec 27, 2017
Hyperconvergence has been receiving a tremendous amount of attention because it represents the next step in the evolution of IT resource delivery. This technology takes the idea of integrating compute, storage and networking that started with converged systems design and has improved on those architectures by adding deeper levels of abstraction and automation. Hyperconverged infrastructure (HCI) vendors promise simplified operation and the ability to quickly and easily expand capacity by deploying and launching additional modules; simplicity has been the key selling point for the HCI pioneers. As HCI ventures even deeper into the enterprise and cloud environments, the architectures will need to become more efficient, agile and adaptable to help IT professionals shoulder the burden of rapidly growing data sets and workloads. This report discusses the benefits of HCI and the enhancements that must be made to expand HCI deeper into the mainstream enterprise datacenter.
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Cisco

Magic Quadrant for Distributed File Systems and Object Storage

Published By: Red Hat     Published Date: Dec 19, 2017
IT leaders are looking to deliver agile, scalable and cost-effective storage for ever-increasing amount of unstructured data. This research assesses the key attributes, vision and executional prowess of distributed file systems and object storage vendors.
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Red Hat

Building a Data Lake on AWS

Published By: AWS     Published Date: Nov 02, 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. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. Since data - structured and unstructured - can be stored as-is, there’s 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.
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AWS

Flashblade Leveraging All Flash Storage

Published By: Pure Storage     Published Date: Nov 02, 2017
FlashBlade fabric modules implement a unified network that connects all blades to each other and to the data center network. With full connectivity, all blades can serve as client connection endpoints, as authorities that process client requests, and as storage managers that transfer data to and from flash and NVRAM.
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storage systems, network, hardware components, architectural, storage software, integrated software
    
Pure Storage

Innovations in All Flash 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

Building a Data Lake on AWS

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

How SolidFire Scale-Out Works

Published By: NetApp     Published Date: Sep 21, 2017
This brief explains SolidFire's solution to the modern data center's struggle that exists between applications and storage, and how it offers a distinct scale-up storage application that intelligently dictates system performance in real time.
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netapp, database performance, flash storage, data management, cost challenges, solidfire
    
NetApp

SolidFire Availability

Published By: NetApp     Published Date: Sep 21, 2017
In order to achieve the five nines (aka, 99.999%), or higher availability, it is important to take a closer look at the design of your storage architecture systems. This paper offers a comprehensive method of assessing your current infrastructure, and provides insight into ways to transform your design to drive better outcomes.
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netapp, database performance, flash storage, data management, cost challenges, solidfire
    
NetApp

Intuit leverages Red Hat Storage for always-available and massively scalable storage

Published By: Red Hat     Published Date: Sep 08, 2017
Intuit needed a fast, reliable, and cost-effective storage solution for its TurboTax suite of tax preparation offerings. TurboTax is a Software-as-a-Service (SaaS) suite of offerings, so system responsiveness was a critical goal.
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Red Hat

The App Economy Requires Mainframe Intelligence

Published By: CA Technologies     Published Date: Aug 22, 2017
Effectively supporting these new business demands has become more complex and challenging. The increased use of mobile devices alone is driving exponential growth in transaction volumes. A customer pushes a button on his or her cell phone, for example, to check a bank balance. That single transaction triggers a cascade of transactions as the request is validated and data is accessed, retrieved and then sent back to the customer.
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storage, systems, network, applications, data, automation, ca technologies
    
CA Technologies

Bigger. Badder. More Powerful. Dell EMC Just Reinvented #1 Scale-Out NAS Platform in the Industry

Published By: Dell EMC     Published Date: Aug 15, 2017
The all-flash, hybrid & archive storage systems allow customers to take on new, demanding unstructured data apps to achieve faster business outcomes.
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nas storage, storage platform, storage system, data storage, data management
    
Dell EMC

Open Technology Solutions Highlights the Criticality of Inline Data Reduction

Published By: Pure Storage     Published Date: Jul 26, 2017
OTS' experiences with all-flash technology mirror what many customers have experienced over the past several years. Hesitatingly optimistic, OTS deployed its first AFA in a limited environment to prove the system out, and when it performed and/or exceeded the company's expectations, it quickly started moving more workloads to it over time. Like OTS, many customers do not immediately retire their legacy storage, but in moving the more demanding workloads off of their existing environments, they provide better application performance both for those applications on the AFA and for those that stay on the legacy storage. And like OTS, the majority of AFA customers have in the past year in particular come to the conclusion that all-flash technology is the future of primary storage for performance, reliability, ease of management and expansion, and economic (as measured by total cost of ownership) reasons.
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external storage systems, flash arrays, scale-up, scale-out, managing it infrastructure, data center, idc, market intelligence
    
Pure Storage

How Oracle Engineered Systems Go Beyond Conventional Converged Infrastructure Solutions

Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
The need to simplify IT complexity has created a whole new market for converged infrastructure solutions that bring together servers, storage, networking, and systems software into a unified solution that is easier to deploy and manage. While these solutions can indeed help reduce operational costs and increase agility, Oracle believes there is a better approach.
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Oracle PaaS/IaaS/Hardware

Open Technology Solutions Highlights the Criticality of Inline Data Reduction

Published By: Pure Storage     Published Date: Jul 18, 2017
OTS' experiences with all-flash technology mirror what many customers have experienced over the past several years. Hesitatingly optimistic, OTS deployed its first AFA in a limited environment to prove the system out, and when it performed and/or exceeded the company's expectations, it quickly started moving more workloads to it over time. Like OTS, many customers do not immediately retire their legacy storage, but in moving the more demanding workloads off of their existing environments, they provide better application performance both for those applications on the AFA and for those that stay on the legacy storage. And like OTS, the majority of AFA customers have in the past year in particular come to the conclusion that all-flash technology is the future of primary storage for performance, reliability, ease of management and expansion, and economic (as measured by total cost of ownership) reasons.
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external storage systems, flash arrays, scale-up, scale-out, managing it infrastructure, data center, idc, market intelligence
    
Pure Storage
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