big data

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Published By: Chatsworth     Published Date: Feb 19, 2016
It is time to finally get over the misconceptions generated by the loud and misleading rhetoric regarding the superior efficiencies of close-coupled and liquid cooled server cabinet solutions, as well as the supposed limits on power densities that can be effectively cooled by air. Passive air cooling can successfully dissipate as much heat as can be generated by commercial servers that can actually fit in a 42-45 U cabinet, and in fact more than most close-coupled and liquid-cooled solutions. In addition, air-cooled solutions that rely on complete isolation between supply air and return air are more efficient than most close-coupled systems and provide access to lower data center cooling costs.
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Chatsworth
Published By: Chatsworth     Published Date: May 10, 2016
The modern data center has changed. There are new demands around cloud computing, big data and infrastructure efficiency. This change in the data center is being driven by more users, more data and a lot more reliance on the data center itself. With private cloud technologies and the rapid growth in data leading the way within many technological categories (the Internet of Things), working with the right data center optimization technologies has never been more important. In this white paper, we explore new concepts around data center demand, where energy efficiency and cooling optimization fit in and modern best practices around your data center.
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chatsworth, data center optimization
    
Chatsworth
Published By: Verne Gloabal     Published Date: Mar 30, 2016
Today’s CIO faces a host of challenges and new trends. Budgets are tight and in many cases decreasing. At the same time, IT is becoming more strategic as the amount of data created is exploding and the value of accessing that data in real time is continuously increasing. Much of this data must be mined and acted upon instantaneously while it is still of value, requiring the application of bigger and more powerful data centers.
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Verne Gloabal
Published By: CommScope     Published Date: Apr 15, 2016
The data center has assumed a new, more prominent role as a strategic asset within the organization. Increasing capacity demands and the pressure to support the “always-on” digital business are forcing data centers to adapt, evolve, and respond at an increasingly accelerated rate. Cloud, mobility, IoT, big data – these and other interrelated trends are putting enormous pressure on the modern data center. To keep pace, today’s physical infrastructure has become vastly more complex, interconnected, and performance-driven than a decade ago.-
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CommScope
Published By: DellEMC and Intel®     Published Date: Oct 25, 2017
Dell EMC PowerEdge servers with Intel® Xeon® Intel® Platinum processors deliver faster, more reliable performance for virtualization, converged IT, hybrid cloud and big data. Get enhanced automation, scalability and security by upgrading to the new generation of PowerEdge servers. Flexible financing options available through Dell Financial Services. Intel Inside®. Intel otwiera nowe mozliwosci. Intel® Xeon® processor Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel Logo, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside Logo, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi, and Xeon Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries
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ultrabook, celeron, celeron inside, core inside, intel, intel logo, intel atom, intel atom inside, intel core, intel inside, intel inside logo, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon, xeon phi
    
DellEMC and  Intel®
Published By: DellEMC and Intel®     Published Date: Oct 25, 2017
Dell EMC PowerEdge servers with Intel® Xeon® Intel® Platinum processors deliver faster, more reliable performance for virtualization, converged IT, hybrid cloud and big data. Get enhanced automation, scalability and security by upgrading to the new generation of PowerEdge servers. Flexible financing options available through Dell Financial Services. Intel Inside®. Para un mundo de nuevas posibilidades. Procesador Intel® Xeon® Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, el logotipo de Intel, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, el logotipo de Intel Inside, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi y Xeon Inside son marcas comerciales de Intel Corporation o de sus filiales en Estados Unidos y/o en otros países.
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ultrabook, celeron, celeron inside, core inside, intel, el logotipo de intel, intel atom, intel atom inside, intel core, intel inside, el logotipo de intel inside, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon
    
DellEMC and  Intel®
Published By: DellEMC and Intel®     Published Date: Oct 25, 2017
Les serveurs Dell EMC PowerEdge, optimisés par la gamme de processeurs Intel® Xeon® Platinum, offrent des performances plus fiables pour la virtualisation, l’IT convergée, le Cloud hybride et le Big Data. Optimisez l’automatisation, l’évolutivité et la sécurité grâce à la mise à niveau vers la nouvelle génération de serveurs PowerEdge. Des options de financement souples sont disponibles auprès de Dell Financial Services. Intel Inside® pour de nouvelles possibilités. Processeur Intel® Xeon® Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, le logo Intel, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, le logo Intel Inside, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi, et Xeon Inside sont des marques commerciales d'Intel Corporation ou de ses filiales aux États-Unis et/ou dans d'autres pays.
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ultrabook, celeron, celeron inside, core inside, intel, le logo intel, intel atom, intel atom inside, intel core, intel inside, le logo intel inside, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon, xeon phi
    
DellEMC and  Intel®
Published By: Dell EMC     Published Date: Aug 22, 2017
By 2020 the digital universe – the data we create and manage annually – will reach 44 zettabytes, or 44 trillion gigabytes! 1 This growth has ushered in a new era of big data, and introduces challenges and opportunities to small and medium businesses trying to economically make sense of it. On the upside, more data means more opportunity for businesses (and consumers) to use data in new ways – learning more about customers, speeding business cycles, and improving the efficacy of business workflows
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Dell EMC
Published By: Dell EMC     Published Date: Aug 22, 2017
Data is the foundation of the digital economy, but managing data growth poses a big challenge as organizations ramp up cloud adoption. Whether your organization is adopting a hybrid cloud strategy or building modern apps in the cloud, there are many challenges that can limit your effectiveness. With Isilon CloudPools and ECS, you can take advantage of cloud capabilities without a disruptive time-consuming migration of your data. In this webinar, we’ll discuss how Dell EMC puts you in control with a flexible cloud design, allowing you to take an application-centric approach to your data platform.
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Dell EMC
Published By: Juniper Networks     Published Date: Aug 21, 2017
Un réseau de centre de données évolutif pour se préparer au tsunami du Big Data
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Juniper Networks
Published By: Carbonite     Published Date: Oct 05, 2017
Not long ago, the biggest concern for IT decision makers considering moving workloads to the cloud was security. That’s no longer the case. Today, the main obstacle to cloud adoption is different but familiar: the pain of migrating data. Traditional data migration causes major headaches: • Hours or days of downtime while servers replicate and stakeholders verify functionality • Data loss and migration failures due to inadequate tools and inability to test • Key internal resources diverted from strategic initiatives
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data migration, cloud security, carbonite, data security, cloud platform, cloud adoption
    
Carbonite
Published By: Wasabi     Published Date: Oct 26, 2017
At Wasabi, we believe that storage should be simple, inexpensive, interchangeable, reliable, fast and readily available to anyone who needs it. Just like bandwidth or electricity. Not only that it is mission critical. As data storage needs grow, both in terms of volume and leverage-ability, next generation cloud storage will become more and more of a necessity. In this White Paper Wasabi discusses that and more through their ‘5 Immutable Laws for Storing ALL Your Data in the Cloud.’ Free Trial Available: 1 TB. 30 Days. No Credit Card Required.
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cloud storage, big data, hot storage, data protection, amazon s3
    
Wasabi
Published By: Oracle Marketing Cloud     Published Date: Oct 06, 2017
Today’s Chief Marketing Officer is tasked with many demands, made even more challenging with the ever-evolving digital domain. Their biggest challenge? Leveraging personalization to demonstrate and drive clear ROI to the executive team. Download this report from Argyle Executive Forum to see how leading CMOs weigh in on other challenges, including how they can skillfully decipher, understand, and leverage the abundance of available data to engage with customers.
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Oracle Marketing Cloud
Published By: SAP SME     Published Date: Nov 02, 2017
Con SAP Leonardo Internet of Things (IoT) las organizaciones pueden aprovechar la Big Data, las analíticas y la tecnología en la nube para alcanzar el éxito.
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SAP SME
Published By: Spectrum Enterprise     Published Date: Oct 05, 2017
Catskill Hudson Bank has grown from its roots as a community bank serving Sullivan County, NY to providing services to business customers across five counties by merging small-town customer service with "a big-bank technology backbone." As a result of this growth and to better respond to today's business customers, the bank needed better connectivity, reliability, and functionality than its existing network could provide. Read this case study to learn how Catskill Hudson Bank can push over 30 time more data over its network than before with better reliability, speed, and security.
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Spectrum Enterprise
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
A big part of GDPR compliance will focus on how data is collected going forward. But a substantial emphasis will fall on the data businesses already hold. With many mainframes containing generations-old data, a manual data audit is completely unrealistic. That’s where CA comes in. CA Data Content Discovery enables organizations to find, classify and protect mission essential mainframe data—three valuable steps toward achieving GDPR compliance.
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gdpr, personal data, social information, ip addresses, ca technologies, mainframe security, anonymize data, privacy projects
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
One way to shift testing practices earlier in your software lifecycle is by using multi-layered visual models to specify requirements in a way where all ambiguity is inherently removed. With unambiguous and complete requirements, developers introduce less defects into their code and manual test cases, automated test scripts and required test data can be automatically generated based on the requirement, without manual intervention.
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data manager, data requirements, test automation, service virtualization, risk manager, continuous testing, testing effort, delivery ecosystem
    
CA Technologies EMEA
Published By: Amazon Web Services     Published Date: Oct 09, 2017
As easy as it is to get swept up by the hype surrounding big data, its just as easy for organisations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data's power to transform business, it's critical that organisations overcome these challenges and realise the value of big data. The cloud can help organisations to do so. Drawing from IDG's 2015 Big Data and Analytics Survey, this white paper analyses the top five challenges companies face when undergoing a big data initiative and explains how they can effectively overcome them.
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amazon, web services, intel, migration, data warehousing, organization optimization, security, software
    
Amazon Web Services
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: IBM     Published Date: Jul 06, 2017
In order to exploit the diversity of data available and modernize their data architecture, many organizations explore a Hadoop-based data environment for its flexibility and scalability in managing big data. Download this white paper for an investigation into the impact of Hadoop on the data, people, and performance of today's companies.
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hadoop, flexibility, scalability, data architecture
    
IBM
Published By: MarkLogic     Published Date: Nov 07, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic.
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MarkLogic
Published By: MarkLogic     Published Date: Nov 07, 2017
This eBook explains how databases that incorporate semantic technology make it possible to solve big data challenges that traditional databases aren’t equipped to solve. Semantics is a way to model data that focuses on relationships, adding contextual meaning around the data so it can be better understood, searched, and shared. Read this eBook, discover the 5 steps to getting smart about semantics, and learn how by using semantics, leading organizations are integrating disparate heterogeneous data faster and easier and building smarter applications with richer analytic capabilities.
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MarkLogic
Published By: Oracle Hardware     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle Hardware
Published By: Oracle Hardware     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle Hardware
Published By: Oracle Hardware     Published Date: Oct 20, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most compani
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Oracle Hardware
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