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Published By: Infinidat EMEA     Published Date: May 14, 2019
Even after decades of industry and technology advancements, there still is no universal, integrated storage solution that can reduce risk, enable profitability, eliminate complexity and seamlessly integrate into the way businesses operate and manage data at scale? To reach these goals, there are capabilities that are required to achieve the optimum results at the lowest cost. These capabilities include availability, reliability, performance, density, manageability and application ecosystem integration? This paper outlines a better way to think about storing data at scale—solving these problems not only today, but well into the future?
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: May 14, 2019
Infinidat® enterprise storage solutions are based upon the unique and patented Infinidat storage architecture—A fully abstracted set of Software-Defined Storage (SDS) functions integrated with the best-of-breed off-the-shelf commodity hardware. Infinidat’s software-focused architecture, an evolution and revolution in data management design over 30 years in the making, solves the conflicting requirements of bigger, faster, and less expensive. This paper discusses the technology that enables Infinidat to be the only enterprise storage provider that achieves multi-petabyte capacity with faster than all-flash performance (over 1.3M IOPS at microsecond latency) and an unprecedented seven-nines availability, all at the lowest Total Cost of Ownership (TCO).
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: May 14, 2019
Infrastructure efficiency and effectiveness directly support profit and growth as competition increases in the cloud and managed service provider (xSP) market. Savvy service providers understand that storage choices have a profound impact on not only their profit and growth, but also on their customer experience and retention. They also know that storage challenges in all those areas increase exponentially with scale. Infinidat storage platforms allow service providers to build and scale differentiated, profitable solutions without worrying about storage. Infinidat technology enables unprecedented efficiency, performance, and resiliency, while flexible business models make it easy for service providers to operationalize those platform advantages—including unique co-branding and promotional opportunities as part of the Powered by Infinidat program. Cloud providers worldwide trust their businesses to Infinidat storage. This paper explores a path for service providers to unlock greater sc
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: May 14, 2019
Virtualization is the standard in enterprise IT environments for consolidating servers, enhancing businstrators that reduces their Total Cost of Ownership (TCO) and helps speed the application development process. However, as improvements have been made with server technology, storage technoless continuity, and improving business agility. VMware provides an architecture for server adminiogy has become the bottleneck. Legacy storage solutions can’t keep pace with thousands of virtual machines demanding maximum IOPS along with high bandwidth at the lowest latency. Infinidat’s InfiniBox removes the storage bottleneck for VMware environments. The InfiniBox enterprise storage array delivers faster-than-all-flash performance, high availability, and capacity density at petabyte scale. This Infinidat white paper is written for VMware and storage administrators to introduce them to the integration capabilities of the InfiniBox for VMware.
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: May 14, 2019
Data is the DNA of modern healthcare. As healthcare technology continues to evolve at a rapid pace, and patient data management and security evolve, emerging approaches for disease treatment and prevention—like precision medicine and healthcare content management—are becoming more necessary. Precision medicine is about moving from generic to more precise, population-focused diagnostics and treatment by factoring in data from patients’ genes, environment, lifestyle factors and family history, into clinical decision-making for earlier, more accurate diagnoses, and more effective treatment and prevention. Data is at the heart of enabling doctors and scientists to execute on this mission. Additionally, rapidly changing regulations throughout the world are affecting the management of all healthcare data. Infinidat removes data management barriers from this level of data interaction by removing isolated islands of storage and allowing much more data to reside on a single, high-performance, h
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Infinidat EMEA
Published By: Infinidat EMEA     Published Date: Oct 10, 2019
Nonostante decenni di progresso industriale e tecnologico, ad oggi non esiste ancora una soluzione storage integrata e universale capace di ridurre i rischi, essere redditizia, eliminare le complessità e integrarsi perfettamente nel modus operandi del business e gestire i dati su larga scala. Per raggiungere questi obiettivi, è necessario contare su determinate capacità, così da raggiungere i risultati ideali al minor costo possibile. Queste capacità includono la disponibilità, l’affi dabilità, le prestazioni, la densità, la facilità di gestione e l’integrazione dell’ecosistema nelle applicazioni. Questo documento presenta una soluzione innovativa nel panorama dello storage. Si possono così risolvere non solo i problemi di oggi, ma anche quelli di domani.
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Infinidat EMEA
Published By: SDL     Published Date: Sep 20, 2019
Component Content Management: A New Paradigm in Intelligent Content Services While technology has changed the world, the way that companies manage information has inherently stayed the same. The advent of near-ubiquitous connectivity among applications and machines has resulted in a data deluge that will fundamentally alter the landscape of content management. From mobile devices to intelligent machines, the volume and sophistication of data have surpassed the ability of humans to manage it with outdated methods of collection, processing, storage, and analysis. The opportunity afforded by the advent of artificial intelligence (AI) has stimulated the market to search for a better way to capture, classify, and analyze this data in its journey to digital transformation (DX). The paradigm of document-based information management has proven to be a challenge in finding, reusing, protecting, and extracting value from data in real time. Legacy systems may struggle with fragmented information
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SDL
Published By: Coyote Point Systems     Published Date: Sep 02, 2010
At a projected market of over $4B by 2010 (Goldman Sachs), virtualizationhas firmly established itself as one of the most importanttrends in Information Technology. Virtualization is expectedto have a broad influence on the way IT manages infrastructure.Major areas of impact include capital expenditure and ongoingcosts, application deployment, green computing, and storage.
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coyote point, adc, buyer's guide, web applications, server load, server hardware, networking, virtualized network
    
Coyote Point Systems
Published By: Infosys     Published Date: Nov 04, 2019
Utilities are embracing new technologies to modernize their electric grid and cope with the changing load profiles created by distributed energy resources such as solar, electric vehicles and battery storage. The path forward for trailblazers is often the most challenging. In the spirit of the early pioneers, this paper attempts to share some of the lessons learned. In previous papers we discussed the case for grid modernization and grid modernization capabilities. In this paper we will discuss the top 10 lessons learned from pioneering grid modernization efforts in order to assist others on their journey. While such efforts span both grid operations and planning and engineering, this paper focuses primarily on planning and engineering.
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Infosys
Published By: Broadcast Beat Magazine     Published Date: Oct 30, 2019
After examining the TCO of object storage vs. LTO tape, and seeing the benefits achieved in a real-world case study, it’s easy to understand why object storage is quickly becoming the standard for data storage, backup, archive, and recovery. It’s clear that when all costs associated with data storage are tracked, object storage beats tape storage hands down. And even with costs aside, on-premises object storage with Cloudian provides businesses with the flexibility they need to respond to changing technology environments, storage requirements, data monetization opportunities, and more.
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Broadcast Beat Magazine
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Nov 01, 2019
Discover why businesses undergoing digital transformation need storage technologies beyond all flash. HPE has just introduced a solution, which will start to ship in calendar 4Q18, that leverages storage-class memory (SCM) and NVMe for HPE's 3PAR and Nimble Storage. This IDC white paper takes a look at the evolving enterprise storage market and which workloads tend to require low latency and very high throughput and bandwidth, and gives a brief overview of one of the first enterprise storage offerings based around these two technologies, HPE Memory-Driven Flash.
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Hewlett Packard Enterprise
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Hitachi Vantara     Published Date: Mar 08, 2019
Consider the key trends driving the modernization of the data infrastructure: focus on governance, mobilization and analytics. And take a look at the technologies that make up modern data infrastructure, including artificial intelligence (AI), flash storage, converged and hyperconverged platforms, and software-defined infrastructures. Read this e-book to observe the key trends driving the modernization of data infrastructure and see how organizations are adapting and flourishing in a data-driven world.
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Hitachi Vantara
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
For midsize firms around the world with 100 to 999 employees, advanced technology plays an increasingly important role in business success. Companies have been adding cloud resources to supplement on-premise server, storage, and networking capabilities. At the same time, growth of mobile and remote workers is also changing how companies need to support workers to allow them to be as productive as possible. Like larger companies, midsize firms must make sure that they are effectively coordinating on-premise, public cloud, and private cloud capabilities. Unlike large companies, though, midsize firms are limited in both financial and technical resources to design and coordinate effective solutions to meet specific needs. Rather than invest in a major overhaul of their IT environments, midsize firms have to move incrementally, supplementing current resources with new cloud and on-premise capabilities that provide the performance needed to prosper in an increasingly competitive environment.
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Hewlett Packard Enterprise
Published By: SAP     Published Date: May 18, 2014
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: HPE Intel     Published Date: Mar 15, 2016
Led by experienced technology consultants, Hewlett Packard Enterprise Storage Transformation Workshop Service provides a highly interactive, meaningful half day-long session with a customer's IT, business, and executive stakeholders. Using a series of high-quality (slide-free) discussion panels, HPE TS Consulting will facilitate an exploration of data management transformation journey to business-aligned visions, aligning your specific situation and HPE’s experiences over evolutionary trends in Data Management, Transformation to All Flash and End to End Data Protection. HPE consultants will also lead discussions on the potential implications that a data management transformation may present to IT, your storage and backup staff, and your business.
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HPE Intel
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
Hyperconvered infrastructure -- the meddling together of servers and storage into a single appliance with streamlined management -- is a technology growing in popularity even as people struggle to figure out exactly what it can do, what it can't do, and just how it impacts the IT organization.
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infrastructure, information technology, modern management, server storage
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Over the past several years, the IT industry has seen solid-state (or flash) technology evolve at a record pace. Early on, the high cost and relative newness of flash meant that it was mainly relegated to accelerating niche workloads. More recently, however, flash storage has “gone mainstream” thanks to maturing media technology. Lower media cost has resulted from memory innovations that have enabled greater density and new architectures such as 3D NAND. Simultaneously, flash vendors have refined how to exploit flash storage’s idiosyncrasies—for example, they can extend the flash media lifespan through data reduction and other technique
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Modern storage arrays can’t compete on price without a range of data reduction technologies that help reduce the overall total cost of ownership of external storage. Unfortunately, there is no one single data reduction technology that fits all data types and we see savings being made with both data deduplication and compression, depending on the workload. Typically, OLTP-type data (databases) work well with compression and can achieve between 2:1 and 3:1 reduction, depending on the data itself. Deduplication works well with large volumes of repeated data like virtual machines or virtual desktops, where many instances or images are based off a similar “gold” master.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Apr 20, 2018
For midsize firms around the world with 100 to 999 employees, advanced technology plays an increasingly important role in business success. Companies have been adding cloud resources to supplement on-premise server, storage, and networking capabilities. At the same time, growth of mobile and remote workers is also changing how companies need to support workers to allow them to be as productive as possible.
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cloud, networking, remote workers
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2016
Technology enables business transformation To thrive in today’s idea economy, small and midsize companies like yours are using technology to transform their business. Like your peers, you know that mobile applications, cloud-based solutions, and advanced analytics can help you increase productivity, reduce costs, and grow your business. Older servers, storage, and networking products weren’t built to handle the exploding amount of data that is being shared today. In order to take advantage of these modern applications, many companies have found that they need to close the gap between what their business demands and what their IT systems can deliver.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, transformation
    
Hewlett Packard Enterprise
Published By: Pentaho     Published Date: Feb 26, 2015
This TDWI Best Practices report explains the benefits that Hadoop and Hadoop-based products can bring to organizations today, both for big data analytics and as complements to existing BI and data warehousing technologies.
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big data, big data analytics, data warehousing technologies, data storage, business intelligence, data integration
    
Pentaho
Published By: Dell     Published Date: Jul 08, 2016
Organizations looking to implement desktop and app virtualization traditionally play a guessing game where storage is concerned. When considering local and physical storage, determining what would be necessary for the virtualized world is difficult and can be overwhelming. This is especially true when determining how virtualizing desktops will impact the storage architecture. Organizations risk over sizing their environment thereby wasting CapEx, or under-sizing and potentially ruining the user experience. Software-defined storage solutions, such as VMware Virtual SAN, provide simplified solutions with high performance data stores that offer fine-grained scalability with linearly-predictable performance as demand grows. Dell’s validated and certified desktop virtualization solutions incorporate vSphere and Virtual SAN, and provide a complete end-to-end solution that allows companies to grow and expand without large capital investments in SAN hardware.
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technology, best practices, data, virtualization, storage, data
    
Dell
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