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By: NetApp     Published Date: Dec 18, 2013
IT managers have indicated their two most significant challenges associated with managing unstructured data at multiple locations were keeping pace with data growth and improving data protection . Learn how the NetApp Distributed Content Repository provides advanced data protection and system recovery capabilities that can enable multiple data centers and remote offices to maintain access to data through hardware and software faults. Key benefits are: - continuous access to file data while maintaining data redundancy with no administrator intervention needed. - easily integrated and deployed into a distributed environment, providing transparent, centrally managed content storage - provision of secure multi-tenancy using security partitions. - provision effectively infinite, on-demand capacity while providing fast access to files and objects in the cloud. - secure, robust data protection techniques that enable data to persist beyond the life of the storage it resides on
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     NetApp
By: IBM     Published Date: Sep 16, 2015
6 criteria for evaluating a high-performance cloud services providers Engineering, scientific, analytics, big data and research workloads place extraordinary demands on technical and high-performance computing (HPC) infrastructure. Supporting these workloads can be especially challenging for organizations that have unpredictable spikes in resource demand, or need access to additional compute or storage resources for a project or to support a growing business. Software Defined Infrastructure (SDI) enables organizations to deliver HPC services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs. SDI is the foundation for a fully integrated environment, optimizing compute, storage and networking infrastructure to quickly adapt to changing business requirements, and dynamically managing workloads and data, transforming a s
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     IBM
By: TIBCO     Published Date: Nov 09, 2015
As one of the most exciting and widely adopted open-source projects, Apache Spark in-memory clusters are driving new opportunities for application development as well as increased intake of IT infrastructure. Apache Spark is now the most active Apache project, with more than 600 contributions being made in the last 12 months by more than 200 organizations. A new survey conducted by Databricks—of 1,417 IT professionals working with Apache Spark finds that high-performance analytics applications that can work with big data are driving a large proportion of that demand. Apache Spark is now being used to aggregate multiple types of data in-memory versus only pulling data from Hadoop. For solution providers, the Apache Spark technology stack is a significant player because it’s one of the core technologies used to modernize data warehouses, a huge segment of the IT industry that accounts for multiple billions in revenue. Spark holds much promise for the future—with data lakes—a storage repo
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     TIBCO
By: Storiant     Published Date: Mar 16, 2015
Read this new IDC Report about how today's enterprise datacenters are dealing with new challenges that are far more demanding than ever before. Foremost is the exponential growth of data, most of it unstructured data. Big data and analytics implementations are also quickly becoming a strategic priority in many enterprises, demanding online access to more data, which is retained for longer periods of time. Legacy storage solutions with fixed design characteristics and a cost structure that doesn't scale are proving to be ill-suited for these new needs. This Technology Spotlight examines the issues that are driving organizations to replace older archive and backup-and-restore systems with business continuity and always-available solutions that can scale to handle extreme data growth while leveraging a cloudbased pricing model. The report also looks at the role of Storiant and its long-term storage services solution in the strategically important long-term storage market.
Tags : storiant, big data, analytics implementations, cloudbased pricing model, long-term storage services solution, long-term storage market
     Storiant
By: IBM     Published Date: Nov 14, 2014
View this series of short webcasts to learn how IBM Platform Computing products can help you ‘maximize the agility of your distributed computing environment’ by improving operational efficiency, simplify user experience, optimize application using and license sharing, address spikes in infrastructure demand and reduce data management costs.
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     IBM
By: IBM     Published Date: Feb 13, 2015
This demonstration shows how an organization using IBM Platform Computing workload managers can easily and securely tap resources in the IBM SoftLayer public cloud to handle periods of peak demand and reduce total IT infrastructure costs.
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     IBM
By: IBM     Published Date: Feb 13, 2015
To quickly and economically meet new and peak demands, Platform LSF (SaaS) and Platform Symphony (SaaS) workload management as well as Elastic Storage on Cloud data management software can be delivered as a service, complete with SoftLayer cloud infrastructure and 24x7 support for technical computing and service-oriented workloads. Watch this demonstration to learn how the IBM Platform Computing Cloud Service can be used to simplify and accelerate financial risk management using IBM Algorithmics.
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     IBM
By: Intel     Published Date: Aug 06, 2014
Around the world and across all industries, high-performance computing is being used to solve today’s most important and demanding problems. More than ever, storage solutions that deliver high sustained throughput are vital for powering HPC and Big Data workloads. Intel® Enterprise Edition for Lustre* software unleashes the performance and scalability of the Lustre parallel file system for enterprises and organizations, both large and small. It allows users and workloads that need large scale, high- bandwidth storage to tap into the power and scalability of Lustre, but with the simplified installation, configuration, and monitoring features of Intel® Manager for Lustre* software, a management solution purpose-built for the Lustre file system.Intel ® Enterprise Edition for Lustre* software includes proven support from the Lustre experts at Intel, including worldwide 24x7 technical support. *Other names and brands may be claimed as the property of others.
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     Intel
By: Intel     Published Date: Sep 16, 2014
In this Guide, we take a look at what Lustre on infrastructure AWS delivers for a broad community of business and commercial organizations struggling with the challenge of big data and demanding storage growth.
Tags : intel, lustre, big data solutions in the cloud
     Intel
By: Kx Systems     Published Date: Jan 16, 2015
?Kdb+ is a column-based relational database with extensive in-memory capabilities, developed and marketed by Kx Systems. Like all such products, it is especially powerful when it comes to supporting queries and analytics. However, unlike other products in this domain, kdb+ is particularly good (both in terms of performance and functionality) at processing, manipulating and analysing data (especially numeric data) in real-time, alongside the analysis of historical data. Moreover, it has extensive capabilities for supporting timeseries data. For these reasons Kx Systems has historically targeted the financial industry for trading analytics and black box trading based on real-time and historic data, as well as realtime risk assessment; applications which are particularly demanding in their performance requirements. The company has had significant success in this market with over a hundred major financial institutions and hedge funds deploying its technology. In this paper, however, we wa
Tags : kx systems, kdb+, relational database
     Kx Systems
By: snowflake     Published Date: Jun 09, 2016
Data and the way that data is used have changed, but data warehousing has not. Today’s premises-based data warehouses are based on technology that is, at its core, two decades old. To meet the demands and opportunities of today, data warehouses have to fundamentally change.
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     snowflake
By: Adaptive Computing     Published Date: Feb 27, 2014
Big data applications represent a fast-growing category of high-value applications that are increasingly employed by business and technical computing users. However, they have exposed an inconvenient dichotomy in the way resources are utilized in data centers. Conventional enterprise and web-based applications can be executed efficiently in virtualized server environments, where resource management and scheduling is generally confined to a single server. By contrast, data-intensive analytics and technical simulations demand large aggregated resources, necessitating intelligent scheduling and resource management that spans a computer cluster, cloud, or entire data center. Although these tools exist in isolation, they are not available in a general-purpose framework that allows them to inter operate easily and automatically within existing IT infrastructure.
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     Adaptive Computing
By: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
Discover the transformational power of intelligent storage. A company’s competitive success depends greatly on how well it harnesses the value of its data. However, it can be challenging to keep pace with the increases in the scale of data being generated, as well as users’ demands for accessibility. Additionally, maximizing the value of digital information requires data to be leveraged at both the optimal time and the optimal place. With HPE’s intelligent storage portfolio, organizations can modernize their IT to better understand their customers, run more agile IT functions, and improve logistical operations.
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     Hewlett Packard Enterprise
By: TIBCO Software     Published Date: Mar 15, 2019
On-demand Webinar The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. Watch this webinar to learn how TIBCO’s Smart Manufacturing solutions can help you overcome these challenges. You will also see a demonstration of TIBCO technology in action around improving yield and optimizing processes while also saving costs. What You Will Learn: Applying advanced analytics & machine learning / AI techniques to optimize complex manufacturing processes How multi-variate statistical process control can help to detect deviations from a baseline How to monitor in real time the OEE and produce a 360 view of your factory The webinar also highlights customer case studies from our clients who have already successfully implemented process optimization models. Speakers:
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     TIBCO Software
By: 3D Systems     Published Date: May 15, 2019
Investment casting is a precise manufacturing methodology that delivers value across industries, from mechanical, automotive and aerospace parts to intricate dental work, jewelry and sculpture. For centuries the trade-off for smooth and accurate investment casted parts has been high costs and long casting pattern lead times. Now the evolution of parts is accelerating dramatically in many industries resulting in shorter product life cycles and lower volumes of casted parts between cycles. Waiting for tooling for obsolete parts for aging aircraft also mean delays for aircraft to be repaired, costing time and money. Demand for faster foundry production is increasing in all industries and foundries need to be ready to respond. To find out how 3D Sysytems can help your business, download this eBook today.
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     3D Systems
By: 3D Systems     Published Date: May 15, 2019
Le moulage à modèle perdu est une méthode de fabrication précise qui apporte de la valeur ajoutée dans tous les secteurs, des pièces mécaniques, automobiles et aérospatiales aux traitements dentaires, bijoux et sculptures complexes. Pendant des siècles, les pièces coulées lisses et précises ont été obtenues au prix de coûts élevés et de longs délais de modèles de moulage. À présent, l'évolution des pièces s'accélère de manière spectaculaire dans de nombreux secteurs, ce qui se traduit par des cycles de vie des produits plus courts et des volumes de pièces moulées plus faibles entre les cycles. L'attente de l'outillage pour les pièces obsolètes destinées aux avions vieillissants entraîne également des retards dans leur réparation, ce qui coûte du temps et de l'argent. La demande d'une production en fonderie plus rapide augmente dans tous les secteurs et les fonderies doivent être prêtes à réagir.
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     3D Systems
By: Global Payments     Published Date: May 02, 2019
Doing business across borders presents a whole host of unfamiliar challenges to today’s merchant. As technological advancement and increasing globalization unlock international markets, it’s tempting to imagine that a business model successful in one region can simply be transplanted into another. Not so. The logistics of domestic and international transactions have changed, and so too have customer expectations and preferences. Customer and merchants pain points have transformed and multiplied. In this report, we explore some of the core challenges businesses today face in their quest to succeed in global commerce. We offer an overview of how unified commerce can both resolve these issues and offer new advantages and standards of best practice, enabling your business to meet the demands of tomorrow’s customer, no matter their location, preferred payment method, and mode of contact.
Tags : unified commerce, global commerce, payment convenience, payment speed, global payments technology, retail, wechat pay, alipay, chinese wallets, mobile payments, international payment solutions, international payment systems, payments, online payments, omnichannel commerce
     Global Payments
By: HERE Technologies     Published Date: May 23, 2019
To provide drivers with navigation experiences that are always fresh, differentiated and that set an OEM’s brand apart on either embedded or mobile platforms, automakers need an unprecedented level of flexibility and control over data, software and the delivery process. As a SaaS offering, HERE Navigation on Demand offers automakers a new way to solve their key challenges – such as static software, complex and costly solution development and the inability to update or upgrade the experience once vehicles are in the field. Automakers need alternatives as they overhaul their navigation and connected service programs and bring change to their development, deployment, and monetization processes. This whitepaper outlines how HERE Technologies can support them to deliver compelling navigation and connected experiences, while keeping them in full control of their branding and revenue streams. Find out how HERE Navigation on Demand leverages: The HERE Open Location Platform to deliver alwa
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     HERE Technologies
By: Intel     Published Date: May 21, 2019
Please note that this piece of content is in local language This paper examines centralized and distributed network architecture intelligence splits and identifies areas where Intel® Silicon Photonics can meet demanding bandwidth requirements.
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     Intel
By: Intel     Published Date: May 22, 2019
Please note that this piece of content is in local language. This paper examines centralized and distributed network architecture intelligence splits and identifies areas where Intel® Silicon Photonics can meet demanding bandwidth requirements.
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     Intel
By: IBM APAC     Published Date: May 14, 2019
Digital transformation (DX) continues to headline business initiatives as companies look to remain competitive in the rapidly changing IT landscape. Organizations are increasingly investing in and implementing next-generation applications and architectures such as software-defined IT and hybrid IT to drive higher levels of efficiency and agility. These modern technologies and architectures, however, also require organizations to evolve their underlying infrastructure to support new capabilities and demands. Recent strength in the server market, which continues to operate in a marketwide refresh cycle, illustrates the growing demand for new infrastructure. 1Q18 marked the server market's fifth consecutive quarter of both shipment and revenue growth and represented a fourth consecutive quarter of year-on-year ASP growth, as customers continue to replace aging server infrastructure with more powerful and efficient systems that leverage the latest platform developments from processor supp
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     IBM APAC
By: IBM APAC     Published Date: May 14, 2019
If anything is certain about the future, it’s that there will be more complexity, more data to manage and greater pressure to deliver instantly. The hardware you buy should meet today’s expectations and prepare you for whatever comes next. Power Systems are built for the most demanding, data-intensive, computing on earth. Our cloudready servers help you unleash insight from your data pipeline — from managing mission-critical data, to managing your operational data stores and data lakes, to delivering the best server for cognitive computing. With industry leading reliability and security, our infrastructure is designed to crush the most data-intensive workloads imaginable, while keeping your business protected. - Simplified Multicloud - Built-in end-to-end security - Proven Reliability - Industry-leading value and performance
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     IBM APAC
By: Here Technologies     Published Date: Apr 01, 2019
On-demand companies rely on fast, accurate and robust mapping and location technologies to provide their users with a superior experience. Find out how real-time, predictive and historical traffic data can be applied to traffic-enabled routing algorithms to influence route calculations and automatically plot multiple routes with waypoints sequencing. Discover how HERE can help you communicate updated ETAs and provide an optimized experience to your drivers and customers.
Tags : location data, transport & logistics, location services
     Here Technologies
By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
One of the biggest changes faces organizations making purchasing and deployment decisions about analytic databases -- including relational data warehouses -- is whether to opt for a cloud solution.
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     Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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     Group M_IBM Q2'19
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