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: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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     Hewlett Packard Enterprise
By: F5 Networks Singapore Pte Ltd     Published Date: Sep 09, 2019
Tech advances like the cloud, mobile technology, and the app-based software model have changed the way today’s modern business operates. They’ve also changed the way criminals attack and steal from businesses. Criminals strive to be agile in much the same way that companies do. Spreading malware is a favorite technique among attackers. According to the 2019 Data Breach Investigations Report, 28% of data breaches included malware.¹ While malware’s pervasiveness may not come as a surprise to many people, what’s not always so well understood is that automating app attacks—by means of malicious bots —is the most common way cybercriminals commit their crimes and spread malware. It helps them achieve scale.
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     F5 Networks Singapore Pte Ltd
By: Intel     Published Date: Aug 26, 2019
Distributed cloud architectures will play an important role in Communication Service Providers’ network transformations. The distributed cloud will be made of numerous edge locations, from the customer premises to mobile base stations to central offices, each of which has its benefits and constraints. CSPs will need to consider attributes such as performance, availability, security, integration, and data and traffic volume to optimize the infrastructure for a myriad of workloads. Learn more about Heavy Reading’s survey results on CSPs adopting a distributed cloud strategy and delivering new services in this white paper.
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     Intel
By: Intel     Published Date: Sep 25, 2019
Distributed cloud architectures will play an important role in Communication Service Providers’ network transformations. The distributed cloud will be made of numerous edge locations, from the customer premises to mobile base stations to central offices, each of which has its benefits and constraints. CSPs will need to consider attributes such as performance, availability, security, integration, and data and traffic volume to optimize the infrastructure for a myriad of workloads. Learn more about Heavy Reading’s survey results on CSPs adopting a distributed cloud strategy and delivering new services in this white paper.
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     Intel
By: Cisco Umbrella EMEA     Published Date: Sep 02, 2019
"Cloud applications provide scale and cost benefits over legacy on-premises solutions. With more users going direct-to-internet from any device, the risk increases when users bypass security controls. We can help you reduce this risk across all of your cloud and on-premises applications with a zero-trust strategy that validates devices and domains, not just user credentials. See why thousands of customers rely on Duo and Cisco Umbrella to reduce the risks of data breaches and improve security. Don’t miss this best-practices discussion focused on the key role DNS and access control play in your zero-trust security strategy. Attendees will learn how to: ? Reduce the risk of phishing attacks and compromised credentials ? Improve speed-to-security across all your cloud applications ? Extend security on and off-network without sacrificing usability"
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     Cisco Umbrella EMEA
By: BillingPlatform     Published Date: Jul 30, 2019
Discover How Cloud-based Billing Delivers Transformation Enterprise leaders and companies of all sizes are leveraging digital transformation through disruptive technologies like the Internet of Things, AI, business intelligence and big data. This eBook demonstrates 5 strategies for leading the charge for change within your business. Discover how to quickly leverage digital transformation in your technology stack and monetize it quickly with cloud-based billing. Download this eBook to explore how the right solution can help you: • Launch product innovations quickly • Monetize IoT and increase revenue • Automate billing to improve customer retention • Leverage the cloud to reduce costs Adapting today can mean the difference between success and obsolescence. With the right billing solution your business can thrive in these challenging times. Discover how today!
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     BillingPlatform
By: BillingPlatform     Published Date: Jul 30, 2019
See How BillingPlatform Mediates IoT Devices for Global Success Read this case study to see how a global transportation provider utilized cloud-based billing to make the most of their Internet of Things devices and overcome regional taxation issues. This ClearChannel subsidiary needed to enable a complex, IoT-based business model and chose BillingPlatform for its superior data and monetization capabilities.
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     BillingPlatform
By: Group M_IBM Q4'19     Published Date: Sep 27, 2019
Brands are seeing tremendous disruption in the areas of retail, consumer goods, and travel/ hospitality. To stay on pace with the changing needs and demands of these industries, you need to compete and thrive in new ways. Cognitive Enterprise is data-enabled, cloud-powered, transformational business. It doesn't see silos. It uses data to inform the next best step to improve processes spanning all areas of the business, including customer experience.
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     Group M_IBM Q4'19
By: Ricoh US     Published Date: Oct 04, 2019
On June 25, 2018, Ricoh announced its Cloud Workflow Solutions portfolio, a collection of cloudbased solutions and services that bring streamlined processes to SMBs in scalable, subscriptionbased packages. With an emphasis on addressing specific challenges facing smaller businesses, these solutions are meant to empower digital workplaces by eliminating manual steps, reducing manual data entry, and improving speed and accuracy to increase productivity and reduce overall costs. Many SMBs struggle to move beyond the challenges associated with content silos, lack of interoperability, and ongoing transition to mobile work environments. Much like their enterprise counterparts, smaller businesses face various complexities and pain points associated with interdepartmental workflows combined with a real need to enable employees to work when, where, and how they desire. Ricoh's Cloud Workflow Solutions platform is designed to address these challenges by streamlining and automating common busines
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     Ricoh US
By: Intel     Published Date: Sep 20, 2019
Skilled IT teams understand that one cloud does not fit all. Compliance issues may demand that some data be held internally. Budget-imposed total cost of ownership (TCO) limits may push other data out to public clouds. Hence, a scalable multi-cloud infrastructure becomes imperative. This whitepaper addresses key questions commonly raised by CIOs considering the move to multi-cloud. Further, it sheds light on how Intel® technologies such as the 2nd Generation Intel® Xeon® Scalable processors and Intel® Optane™ DC Persistent Memory can help boost your cloud credentials.
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     Intel
By: Datastax     Published Date: Sep 27, 2019
In this white paper, you’ll learn about the three most important issues surrounding data management in the age of IoT. You'll also learn how DataStax Enterprise, built on Apache Cassandra™ and native to hybrid cloud environments, is paving the way for the future of data management. Download the white paper to learn more now.
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     Datastax
By: Datastax     Published Date: Oct 21, 2019
A recent Gartner survey found that 80% of respondents using public cloud are using more than one cloud service provider (CSP). As databases move to the cloud, the database management service vendor landscape is shrinking, and data governance and integration are becoming more complex. Are you ready for the impact of multicloud deployments on data and analytics strategies in your own organization? This new Gartner report on multicloud and intercloud data management provides an impact appraisal along with recommendations for leaders planning to incorporate multiple CSPs into their data management strategies.
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     Datastax
By: Datastax     Published Date: Oct 21, 2019
The majority of enterprises using cloud will be living in a hybrid deployment world for the foreseeable future. Data and analytics leaders must understand the risks and benefits in using the primary scenarios for hybrid cloud DBMS, and how they align with core use cases and architectures. Read this Gartner report to learn more about how you can evolve your data management strategy to reflect the latest trends and technologies.
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     Datastax
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