big data

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By: Seagate     Published Date: Jan 27, 2015
This paper is the first to explore a recent breakthrough with the introduction of the High Performance Computing (HPC) industry’s first Intelligence Community Directive (ICD) 503 (DCID 6/3 PL4) certified compliant and secure scale-out parallel file system solution, Seagate ClusterStor™ Secure Data Appliance, which is designed to address government and business enterprise need for collaborative and secure information sharing within a Multi-Level Security (MLS) framework at Big Data and HPC Scale.
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     Seagate
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.
Tags : intel, enterprise edition lustre software
     Intel
By: Intel     Published Date: Aug 06, 2014
Powering Big Data Workloads with Intel® Enterprise Edition for Lustre* software The Intel® portfolio for high-performance computing provides the following technology solutions: • Compute - The Intel® Xeon processor E7 family provides a leap forward for every discipline that depends on HPC, with industry-leading performance and improved performance per watt. Add Intel® Xeon Phi coprocessors to your clusters and workstations to increase performance for highly parallel applications and code segments. Each coprocessor can add over a teraflop of performance and is compatible with software written for the Intel® Xeon processor E7 family. You don’t need to rewrite code or master new development tools. • Storage - High performance, highly scalable storage solutions with Intel® Enterprise Edition for Lustre* software and Intel® Xeon Processor E7 based storage systems for centralized storage. Reliable and responsive local storage with Intel® Solid State Drives. • Networking - Intel® True Scale Fabric and Networking technologies – Built for HPC to deliver fast message rates and low latency. • Software and Tools: A broad range of software and tools to optimize and parallelize your software and clusters.
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     Intel
By: IBM     Published Date: Jun 05, 2014
Whether in high-performance computing, Big Data or analytics, information technology has become an essential tool in today’s hyper-competitive business landscape. Organizations are increasingly being challenged to do more with less and this is fundamentally impacting the way that IT infrastructure is deployed and managed. In this short e-book, learn the top ten ways that IBM Platform Computing customers are using technologies like IBM Platform LSF and IBM Platform Symphony to help obtain results faster, share resources more efficiently, and improve the overall cost-effectiveness of their global IT infrastructure.
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     IBM
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: IBM     Published Date: Sep 16, 2015
According to our global study of more than 800 cloud decision makers and users are becoming increasingly focused on the business value cloud provides. Cloud is integral to mobile, social and analytics initiatives – and the big data management challenge that often comes with them and it helps power the entire suite of game-changing technologies. Enterprises can aim higher when these deployments are riding on the cloud. Mobile, analytics and social implementations can be bigger, bolder and drive greater impact when backed by scalable infrastructure. In addition to scale, cloud can provide integration, gluing the individual technologies into more cohesive solutions. Learn how companies are gaining a competitive advanatge with cloud computing.
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     IBM
By: IBM     Published Date: May 20, 2015
Whether in high-performance computing, Big Data or analytics, information technology has become an essential tool in today’s hyper-competitive business landscape. Organizations are increasingly being challenged to do more with less and this is fundamentally impacting the way that IT infrastructure is deployed and managed. In this short e-book, learn the top ten ways that IBM Platform Computing customers are using technologies like IBM Platform LSF and IBM Platform Symphony to help obtain results faster, share resources more efficiently, and improve the overall cost-effectiveness of their global IT infrastructure.
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     IBM
By: Bull     Published Date: Dec 04, 2014
Bull, an Atos company, is a leader in Big Data, HPC and cyber-security with a worldwide market presence. Bull has extensive experience in implementing and running petaflopsscale supercomputers. The exascale program is a new step forward in Bull’s strategy to deliver exascale supercomputers capable of addressing the new challenges of science, industry and society.
Tags : bull, exascale, big data, hpc, cyber security, supercomputers
     Bull
By: Adaptive Computing     Published Date: Feb 21, 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: Intel     Published Date: Sep 16, 2014
In this Guide, we take a look at what an HPC solution like Lustre can deliver for a broad community of business and commercial organizations struggling with the challenge of big data and demanding storage growth.
Tags : intel, lustre*, solution for business
     Intel
By: Dell and Intel®     Published Date: Nov 18, 2015
Unleash the extreme performance and scalability of the Lustre® parallel file system for high performance computing (HPC) workloads, including technical ‘big data’ applications common within today’s enterprises. The Dell Storage for HPC with Intel® Enterprise Edition (EE) for Lustre Solution allows end-users that need the benefits of large–scale, high bandwidth storage to tap the power and scalability of Lustre, with its simplified installation, configuration, and management features that are backed by Dell and Intel®.
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     Dell and Intel®
By: General Atomics     Published Date: Jan 13, 2015
The term “Big Data” has become virtually synonymous with “schema on read” (where data is applied to a plan or schema as it is ingested or pulled out of a stored location) unstructured data analysis and handling techniques like Hadoop. These “schema on read” techniques have been most famously exploited on relatively ephemeral human-readable data like retail trends, twitter sentiment, social network mining, log files, etc. But what if you have unstructured data that, on its own, is hugely valuable, enduring, and created at great expense? Data that may not immediately be human readable or indexable on search? Exactly the kind of data most commonly created and analyzed in science and HPC. Research institutions are awash with such data from large-scale experiments and extreme-scale computing that is used for high-consequence
Tags : general atomics, big data, metadata, nirvana
     General Atomics
By: MarkLogic     Published Date: Jun 09, 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
By: MarkLogic     Published Date: Jun 09, 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
By: DellEMC and Intel® Xeon® processor     Published Date: Jun 19, 2017
Read this white paper to find out how you could move your enterprise to the next level. Intel Inside® per nuove, infinite possibilità.
Tags : digital transformation, it infrastructure, mobile, cloud, big data, social
     DellEMC and  Intel® Xeon® processor
By: DellEMC and Intel® Xeon® processor     Published Date: Jun 19, 2017
Read this white paper to find out how you could move your enterprise to the next level. Intel Inside® pour de nouvelles possibilités.
Tags : digital transformation, it infrastructure, mobile, cloud, big data, social
     DellEMC and  Intel® Xeon® processor
By: DellEMC and Intel® Xeon® processor     Published Date: Jun 19, 2017
Read this white paper to find out how you could move your enterprise to the next level. Intel Inside®. Neue Möglichkeiten Outside.
Tags : digital transformation, it infrastructure, mobile, cloud, big data, social
     DellEMC and  Intel® Xeon® processor
By: Oracle     Published Date: May 13, 2017
Each chapter is illustrated by examples from successful businesses that have embraced digital technologies and the best practices being implemented so that CFOs and their finance teams have the opportunity to become the new organisational wide digital guidance system for their business.
Tags : modern finance, digital age, cloud, social, mobile, big data, big data analytics, digital transformation
     Oracle
By: Oracle     Published Date: May 13, 2017
This digibook contains a step-by-step guide to overcoming the new challenges of raised expectations, big data, and globalization, with case studies and examples of how CFOs of the future are redefining reporting to improve their existing financial business process.
Tags : big data, globalisation, modern finance, case studies, best practices, finance
     Oracle
By: Citrix ShareFile     Published Date: Apr 13, 2017
Accounting is full of big, busy deadlines, which means the ability to take your work home with you could be a game-changer. But can your personal devices ever be secure enough to manage your clients’ sensitive data? Surprisingly, this informative whitepaper shows that, with the right preparation, using your personal device can actually help you keep your firm more secure. • Why data encryption is often easier to adopt as part of a cloud initiative • What top security threat you are less susceptible to on personal devices • How to manage device updates and passwords for the greatest protection
Tags : data encryption, personal security, client security, cloud initiative, password protection
     Citrix ShareFile
By: Intel     Published Date: May 02, 2017
Cloudera helps communications service providers capitalize on big data to deliver a 360-degree view of customers and improve customer experiences.
Tags : customer experience, service provider, csps, customer experience management
     Intel
By: Citrix ShareFile     Published Date: Jun 12, 2017
Some of the biggest challenges IT teams face today stem from data loss and security risks arising from the unauthorized use of personal file sharing services by employees for business purposes. Personal file sharing services invite data leakage and compliance violations by allowing files being shared to escape beyond the visibility and control of IT. At the same time, these services meet the essential need of today’s mobile workforce to be able to access and share data wherever people work. Learn how enterprise-ready file sharing solutions exceed employee needs while securing and mobilizing business data.
Tags : data loss, security, file sharing, mobile workforce
     Citrix ShareFile
By: IBM     Published Date: Apr 14, 2017
A big data integration platform that is flexible and scalable is needed to keep up with today’s ever-increasing big data volume. Download this infographic to find out how to build a strong foundation with big data integration.
Tags : big data, big data integration, scalable data
     IBM
By: IBM     Published Date: Apr 14, 2017
Any organization wishing to process big data from newly identified data sources, needs to first determine the characteristics of the data and then define the requirements that need to be met to be able to ingest, profile, clean,transform and integrate this data to ready it for analysis. Having done that, it may well be the case that existing tools may not cater for the data variety, data volume and data velocity that these new data sources bring. If this occurs then clearly new technology will need to be considered to meet the needs of the business going forward.
Tags : data integration, big data, data sources, business needs, technological advancements, scaling data
     IBM
By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
Tags : data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
     IBM
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