data infrastructure

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By: NetApp     Published Date: Dec 13, 2013
FlexPod Select with Hadoop delivers enterprise class Hadoop with validated, pre-configured components for fast deployment, higher reliability and smoother integration with existing applications and infrastructure.  These technical reference architectures optimize storage, networking, and servers with Cloudera and Hortonworks distributions of Hadoop. Leverage FlexPod Select with Hadoop to help store, manage, process and perform advanced analytics on your multi-structured data.   Tuning parameters, optimization techniques among other Hadoop cluster guidelines  are provided.
Tags : flexpod with hadoop, enterprise data, storage infrastructure, massive amounts of data
     NetApp
By: NetApp     Published Date: -
Enterprise data is growing rapidly - reaching multiple petabytes of data or even billions of files for many organizations. To maximize the business value of this data, enterprises need a storage infrastructure to store, manage, and retrieve a massive amount of data. This ebook shows you how to address large content repository challenges with object storage. You'll learn how to effectively address long-term retention policies, find and retrieve content quickly from long-term repositories and using object storage efficiently.
Tags : object storage, storage infrastructure
     NetApp
By: IBM     Published Date: Sep 02, 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 platform computing, save money
     IBM
By: IBM     Published Date: Sep 02, 2014
In today’s stringent financial services regulatory environment with exponential growth of data and dynamic business requirements, Risk Analytics has become integral to businesses. IBM Algorithmics provides very sophisticated analyses for a wide range of economic scenarios that better quantify risk for multiple departments within a firm, or across the enterprise. With Algorithmics, firms have a better handle on their financial exposure and credit risks before they finalize real-time transactions. But this requires the performance and agility of a scalable infrastructure; driving up IT risk and complexity. The IBM Application Ready Solution for Algorithmics provides an agile, reliable and high-performance infrastructure to deliver trusted risk insights for sustained growth and profitability. This integrated offering with a validated reference architecture delivers the right risk insights at the right time while lowering the total cost of ownership.
Tags : ibm, it risk, financial risk analytics
     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: IBM     Published Date: May 20, 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: 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
Building applications for handling big data requires laser-like focus on solutions that allow you to deliver scalable, reliable and flexible infrastructure for fast-growing analytics environments. This paper provides 6 best practices for selecting the “right” infrastructure—one that is optimized for performance, flexibility and long-term value.
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     IBM
By: IBM     Published Date: Nov 14, 2014
Join Gartner, Inc. and IBM Platform Computing for an informative webinar where you will learn how to combine best of breed analytic solutions to provide a low latency, shared big data infrastructure. This helps government IT departments make faster decisions by analyzing massive amounts of data, improving security, detecting fraud, enabling faster decisions and saving cost by optimizing and sharing your existing infrastructure.
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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: Dell and Intel®     Published Date: Aug 24, 2015
To extract value from an ever-growing onslaught of data, your organization needs next-generation data management, integration, storage and processing systems that allow you to collect, manage, store and analyze data quickly, efficiently and cost-effectively. That’s the case with Dell| Cloudera® Apache™ Hadoop® solutions for big data. These solutions provide end-to-end scalable infrastructure, leveraging open source technologies, to allow you to simultaneously store and process large datasets in a distributed environment for data mining and analysis, on both structured and unstructured data, and to do it all in an affordable manner.
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     Dell and Intel®
By: GridGain     Published Date: Mar 10, 2015
Software as a Service (SaaS) is a software distribution model in which applications are hosted by a vendor or service provider and made available to customers over the Internet. Instead of companies installing software on their own servers, known as the on premises distribution model, application software providers host the software in the cloud and charge customers according to the time they spend using the software, or based on a monthly or annual fee. SaaS is becoming increasingly popular, and as the industry develops, more and more companies are dropping older business models in favor of this rapidly evolving methodology.
Tags : gridgain, saas, saas perfomance and scalability, in memory computing, data fabric, paas for saas, data grid, real-time streaming, hadoop
     GridGain
By: Solix     Published Date: Aug 03, 2015
Every CIO want to know if their infrastructure will handle it when data growth reaches 40 zettabytes by 2020. When data sets become to large, application performance slows and infrastructure struggles to keep up. Data growth drives increases cost and complexity everywhere, including power consumption, data center space, performance and availability. To find out more download the Gartner study now.
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     Solix
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: Schneider Electric     Published Date: Nov 04, 2019
What is digital transformation? Why is everyone talking about it? And what can it do for me? Across every level of your company, people are asking themselves these questions. The Global Digital Transformation Benefits Report provides answers. It’s based on data points from over 230 cases of digital transformation from around the world, in data centers, buildings, infrastructure, and industry. The results paint a compelling picture of what digital transformation can do for businesses of all types. A selection of key findings: - On average, digital transformation helped our customers save 35% on engineering costs. - Our customers cut an average of 28% off their energy costs. - Digital transformation efforts drove productivity gains by an average of 24%.
Tags : digital transformation, digital transformation in business, digital transformation in healthcare, iot, data centers, buildings, infrastructure, industry
     Schneider Electric
By: Dell EMC     Published Date: Oct 30, 2019
As data volumes grow larger every year, businesses that adopt more sophisticated approaches to storing and deriving value from that data benefit in terms of performance, scalability, and cost. How do you migrate effectively to the latest storage and infrastructure technologies, while also mitigating the associated disruption and risk? Download this overview from Dell EMC and Intel® to learn more.
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     Dell EMC
By: CloudHealth by VMware     Published Date: Aug 22, 2019
Public clouds have fundamentally changed the way organizations build, operate, and manage applications. Security for applications in the cloud is composed of hundreds of configuration parameters and is vastly different from security in traditional data centers. According to Gartner, “Through 2020, at least 95% of cloud breaches will be due to customer misconfiguration, mismanaged credentials or insider theft, not cloud provider vulnerabilities”1. The uniqueness of cloud requires that security teams rethink classic security concepts and adopt approaches that address serverless, dynamic, and distributed cloud infrastructure. This includes rethinking security practices across asset management, compliance, change management, issue investigation, and incident response, as well as training and education. We interviewed several security experts and asked them how public cloud transformation has changed their cloud security and compliance responsibilities. In this e-book, we will share the top
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     CloudHealth by VMware
By: CloudHealth by VMware     Published Date: Sep 05, 2019
Both the speed of innovation and the uniqueness of cloud technology is forcing security teams everywhere to rethink classic security concepts and processes. In order to keep their cloud environment secure, businesses are implementing new security strategies that address the distributed nature of cloud infrastructure. Security in the cloud involves policies, procedures, controls, and technologies working together to protect your cloud resources, which includes stored data, deployed applications, and more. But how do you know which cloud service provider offers the best security services? And what do you do if you’re working on improving security for a hybrid or multicloud environment? This ebook provides a security comparison across the three main public cloud providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). With insight from leading cloud experts, we also analyze the differences between security in the cloud and on-premises infrastructure, debunk
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     CloudHealth by VMware
By: CloudHealth by VMware     Published Date: Sep 05, 2019
Public clouds have fundamentally changed the way organizations build, operate, and manage applications. Security for applications in the cloud is composed of hundreds of configuration parameters and is vastly different from security in traditional data centers. According to Gartner, “Through 2020, at least 95% of cloud breaches will be due to customer misconfiguration, mismanaged credentials or insider theft, not cloud provider vulnerabilities”1. The uniqueness of cloud requires that security teams rethink classic security concepts and adopt approaches that address serverless, dynamic, and distributed cloud infrastructure. This includes rethinking security practices across asset management, compliance, change management, issue investigation, and incident response, as well as training and education. We interviewed several security experts and asked them how public cloud transformation has changed their cloud security and compliance responsibilities. In this e-book, we will share the top
Tags : 
     CloudHealth by VMware
By: Google     Published Date: Nov 04, 2019
"ESG compared Google BigQuery’s serverless Enterprise data warehouses (EDW) solution with some alternative EDW services offered by AWS, Microsoft, and Snowflake. While all of these offerings provide significant cost savings, reduction in complexity, and increased business agility when compared with an on-premises EDW solution, there are some significant differences between the offerings. Read The Economic Advantages of Google BigQuery versus Alternative Cloud-based EDW Solutions to learn more. "
Tags : database servers, cloud database, application infrastructure, cloud database, data integration
     Google
By: Google     Published Date: Nov 04, 2019
"Gartner evaluated the cloud providers offering infrastructure as a service. Google is proud that Gartner identifies Google as one of only three Leaders in this market. Get your complimentary copy of the report to learn: Where the market stands and where it's going How the vendors scored on the various criteria Which platform solutions are best for your business Why Google was named a Leader in the Infrastructure-as-a-Service market"
Tags : database servers, cloud database, application infrastructure, cloud database, data integration
     Google
By: Google     Published Date: Nov 04, 2019
"As businesses have embraced application development, they have also adopted cloud technologies that provide their teams lesser reliance on hardware. In this sponsored Economist Intelligence Unit report, we look at the real-life experiences of over 1,000 business executives and understand the importance of close alignment between development teams, C-suite, and the wider business. Read the report and find out how you can manage application development to unlock its full potential."
Tags : database servers, cloud database, application infrastructure, cloud database, data integration
     Google
By: Cisco and NVIDIA Corporation     Published Date: Oct 25, 2019
IT organizations are no longer just a business support function and cost center—they are expected to drive business as part of the core corporate strategy. Adding to this, IT landscapes continue to increase in complexity, complicating management and innovation. Digital transformation helps IT adapt to these changes. Building a hybrid or multi-cloud IT environment can help you transform successfully. An effective cloud environment can provide: • Improved infrastructure management and flexibility • More time for IT to focus on strategic projects rather than manage data centers. • Better IT cost management In fact, 49% of companies cite “modernized IT infrastructure and technologies with increased agility, flexibility, manageability, and security” as a digital initiative on their long-term roadmap. To learn more, download this eBook!
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     Cisco and NVIDIA Corporation
By: Infinidat EMEA     Published Date: May 14, 2019
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
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     Infinidat EMEA
By: Infinidat EMEA     Published Date: May 14, 2019
Data continues to grow at an astounding pace? As a result, data center space is becoming more scarce, as more arrays are acquired to store all of this data. Along with this data taking up space, it is also utilizing a great deal of power and cooling. In fact, the average data center in the U.S. uses approximately 34,000 kW of electricity each year, costing $180,000 in annual energy costs. As Infinidat set out to revolutionize the storage industry, one of our goals was to help consumers of storage build a more sustainable infrastructure that would be not only better for the environment, but also help them to save money as well. All of our patents come together to form InfiniBox, a storage solution that does just this.
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     Infinidat EMEA
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