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.
Tags : ibm
     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: Pindrop Security     Published Date: Apr 26, 2018
As fraudsters grow in sophistication and experience, they often aren’t acting alone. Syndicated crime rings are big business around the world. In the fraud economy, different fraudsters specialize in different aspects of the attack, from gathering data and creating profiles of targeted victims, to socially engineering call center agents, to creating tools like robotic dialers. These fraudsters might work alone, selling their skills on the black market. In other cases, fraudsters are running entire call centers overseas dedicated to executing attacks.
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     Pindrop Security
By: Mitel     Published Date: Apr 25, 2018
This is a time of rapid and dramatic progress in the cloud communications landscape. New technological innovations help companies incorporate location-independent systems, allowing workers to collaborate and communicate wherever they may be. And all signs indicate this is only the beginning, with the industry poised for unprecedented growth. In fact, as enterprise software moves to the cloud, the traditional unified communications space is having its own dramatic shift. The consumer experiences from Snapchat to Instagram to Facebook among other consumer technologies—are changing the expectations for communications. New models for collaboration and engagement, supported by big data and the cloud, provide a whole new world of opportunities.
Tags : evolution, consumer, demands, cloud, communications
     Mitel
By: IBM     Published Date: Apr 03, 2018
The next generation of IBM Db2 helps organizations get more value from their big data to improve their IT economics.
Tags : ibm, data management, db2
     IBM
By: IBM     Published Date: Apr 19, 2018
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Tags : db2, data migration, ibm, oracle
     IBM
By: IBM     Published Date: May 22, 2018
An overview of testing in talent acquisition and four specific guidelines for assessment practitioners evaluating new selection methods.
Tags : human resources, talent management
     IBM
By: Google Cloud     Published Date: May 09, 2018
To the Cloud and Beyond: Big Data in the Age of Machine Learning
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     Google Cloud
By: Workday UK     Published Date: Mar 07, 2018
As the finance function moves further into the digital era, one of the biggest questions CFOs are asking is, “Are we ready?” Technology advancements and the proliferation of data are dramatically reshaping the role of the finance function. As companies face increasing competition and ongoing change, they expect finance to leverage technology and turn data into insights they can use to guide strategy and support decision-making.
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     Workday UK
By: Workday UK     Published Date: Mar 08, 2018
In the HR Outlook Report for Winter 2016/2017, brought to you by the CIPD in association with Workday, HR leaders discuss the priorities and challenges facing the function, both today and as we move into a business landscape which is anything but clear. Read the report and discover: • How HR leaders view their role in guiding their organisation through periods of economic and political uncertainty, such as Brexit • The uptake of analytics and big data to strengthen evidence-based decision making and the barriers preventing HR from adopting these technologies • HR’s priorities for 2017, and how these are shifting from 2016
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     Workday UK
By: NetApp     Published Date: Dec 13, 2013
Despite the hype, Big Data has introduced critical challenges for modern organizations – and unprepared organizations risk getting buried beneath an avalanche of information. In this informative webcast, join industry and business intelligence (BI) expert Wayne Eckerson, as he tackles the challenges of Big Data. Uncover practical tips and tactics for driving value with your Big Data platform – watch now to learn more.
Tags : big data problems, how to get the most from your big data
     NetApp
By: MIT Academy of Engineering, Pune     Published Date: Mar 05, 2013
A Java application that will successfully be able to retrieve, insert & delete data from our database which will be implemented in HBase along with.Basically the idea is to provide much faster, safer method to transmit & receive huge amounts of data
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     MIT Academy of Engineering, Pune
By: IBM     Published Date: Apr 13, 2018
IBM Security can help your organization secure and protect personal data with a holistic GDPR-focused framework.
Tags : gdpr, compliance, data protection, personal data
     IBM
By: SAP     Published Date: Mar 09, 2017
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
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     SAP
By: SAP     Published Date: Mar 09, 2017
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
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     SAP
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