cloud data

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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: 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: 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: EMC     Published Date: Jun 13, 2016
EMC Isilon Cloudpools software provides policy-based automated tiering that lets you seamlessly integrate with the cloud as on additional storage tier for the isilon cluster at your data center.
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     EMC
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
Organizations working at gathering insights from vast volumes of varied data types understand that they need more than traditional, structured systems, and tools. This paper discusses how the many Dell | Cloudera Hadoop solutions help organizations of all sizes, and with a variety of needs and use cases, tackle their big data requirements.
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     Dell and Intel®
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: snowflake     Published Date: Jun 09, 2016
Check out this short Webinar: Using the Cloud For Speed-of-Thought Analytics on All Your Data
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     snowflake
By: snowflake     Published Date: Jun 09, 2016
Why Read This Report In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
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     snowflake
By: snowflake     Published Date: Jun 09, 2016
THE CHALLENGE: DATA SOLUTIONS CAN’T KEEP PACE WITH DATA NEEDS Organizations are increasingly dependent on diff erent types of data to make successful business decisions. But as the volume, rate, and types of data expand and become less predictable, conventional data warehouses cannot consume all this data eff ectively. Big data solutions like Hadoop increase the complexity of the environment and generally lack the performance of traditional data warehouses. This makes it difficult, expensive, and time-consuming to manage all the systems and the data.
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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: Cisco EMEA     Published Date: Mar 08, 2019
And then imagine processing power strong enough to make sense of all this data in every language and in every dimension. Unless you’ve achieved that digital data nirvana (and you haven’t told the rest of us), you’re going to have some unknowns in your world. In the world of security, unknown threats exist outside the enterprise in the form of malicious actors, state-sponsored attacks and malware that moves fast and destroys everything it touches. The unknown exists inside the enterprise in the form of insider threat from rogue employees or careless contractors – which was deemed by 24% of our survey respondents to pose the most serious risk to their organizations. The unknown exists in the form of new devices, new cloud applications, and new data. The unknown is what keeps CISOs, what keeps you, up at night – and we know because we asked you.
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     Cisco EMEA
By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
Accelerate Digital Transformation. Make data center infrastructure cloud-ready. Optimize storage across clouds and data centers.
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     Hewlett Packard Enterprise
By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
Cities are changing at a pace never before possible, bringing smart features online daily. But smart features don’t equal smart cities. That’s why aspiring smart cities are shifting from siloes of smart features to a more holistic approach that connects and makes sense of all people and things. This shift demands technology solutions that are edge-centric, cloud-enabled and data-driven, able to deliver citizen-centric outcomes now and into the future.
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     Hewlett Packard Enterprise
By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
Accelerate Digital Transformation. Make data center infrastructure cloud-ready. Optimize storage across clouds and data centers.
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     Hewlett Packard Enterprise
By: Dell EMC     Published Date: Feb 14, 2019
Disaster recovery and long term retention (LTR) of data can be challenging for mid-sized organizations. Keeping a secondary site up for disaster recovery can be expensive and dealing with tape for LTR can be slow and costly. IDPA DD4400 enables mid-size organizations to take advantage of clould efficiencies for data protection with cloud disaster recovery and long term retention. Download this summary from Dell and Intel® to learn more. Intel Inside®. Powerful Productivity Outside.
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     Dell EMC
By: Alibaba Cloud SEA     Published Date: Mar 11, 2019
Many businesses are adopting a multi-cloud infrastructure. However, managing data and communication between multiple cloud environments is often challenging and complex. Therefore, companies often try to find a technical partner that can help them. Companies with on-premise data centers need some type of interconnect to access their products and services hosted on the cloud. The traditional Virtual Private Network (VPN) connection method usually can’t meet enterprise speed,stability, security, and compliance requirements.This whitepaper describes the challenges that companies face when building dedicated connections between different cloud environments and how Alibaba Cloud’s Express Connect is the perfect solution for them
Tags : data center, cloud computing, networking, security, china, global expansion
     Alibaba Cloud SEA
By: Avi Networks     Published Date: Mar 06, 2019
Software-defined architectures have transformed enterprises seeking to become application-centric, with many modern data centers now running a combination of cloud-native applications based on microservices architectures alongside traditional applications. With application owners seeking publiccloud- like simplicity and flexibility in their own data centers, IT teams are under pressure to deliver services and resolve application issues quickly, while simultaneously reducing provisioning time for new applications and lowering costs for application services.
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     Avi Networks
By: Avi Networks     Published Date: Mar 06, 2019
Software-defined architectures have transformed enterprises to become more application-centric. With application owners seeking public-cloud-like simplicity and flexibility in their own data centers, IT teams are under pressure to reduce wait times to provision applications. Legacy load balancing solutions force network architects and administrators to purchase new hardware, manually configure virtual services, and inefficiently overprovision these appliances. Simultaneously, new infrastructure choices are also enabling IT teams to re-architect applications into autonomous microservices from monolithic or n-tier constructs. These transformations are forcing organizations to rethink load balancing strategies and application delivery controllers (ADCs) in their infrastructure.
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     Avi Networks
By: Lenovo - APAC     Published Date: Jan 28, 2019
Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population. Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as theydo not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
Tags : lenovodcg, nutanix, hyperconvergedinfrastructure, hci
     Lenovo - APAC
By: Lenovo - APAC     Published Date: Feb 11, 2019
Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population. Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as theydo not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
Tags : lenovodcg, nutanix, hyperconvergedinfrastructure, hci
     Lenovo - APAC
By: TIBCO Software APAC     Published Date: Feb 14, 2019
Digital business initiatives have expanded in scope and complexity as companies have increased the rate of digital innovation to capture new market opportunities. As applications built using fine-grained microservices and functions become pervasive, many companies are seeing the need to go beyond traditional API management to execute new architectural patterns and use cases. APIs are evolving both in the way they are structured and in how they are used, to not only securely expose data to partners, but to create ecosystems of internal and/or third-party developers. In this datasheet, learn how you can use TIBCO Cloud™ Mashery® to: Create an internal and external developer ecosystem Secure your data and scale distribution Optimize and manage microservices Expand your partner network Run analytics on your API performance
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     TIBCO Software APAC
By: Group M_IBM Q119     Published Date: Mar 04, 2019
One of the biggest changes facing organizations making purchasing and deployment decisions about analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A couple of years ago, only a few organizations selected such cloud analytic databases. Today, according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at least one data warehouse or mart deploying in the cloud.
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     Group M_IBM Q119
By: Apstra     Published Date: Feb 21, 2019
IT organizations are facing new challenges as a result of digital transformation, widespread cloud and SaaS adoption, mobile proliferation and pervasive IoT deployments. They must build and operate their internal data centers to deliver high availability for mission critical applications, rapidly onboard new applications and scale capacity on demand – all within the mandate to be cost competitive with infrastructure as a service providers (IaaS) like AWS and Azure. They are architecting and building new Intent-Based Data Centers to deliver private cloud services to their internal and external customers.
Tags : saas, data center automation
     Apstra
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