storage analytics

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Published By: CDW - NetApp     Published Date: Apr 07, 2016
As organizations evolve from virtualized infrastructures to private clouds, IT management must measure success by the efficiencies of the infrastructure in providing end users with flexible and cost-effective services and service levels. NetApp® OnCommand® Insight storage resource management software provides service analytics that help enterprises manage the complexity of this transition. OnCommand Insight provides a holistic view into complex multivendor and multiprotocol storage services and powerful analytics to help organizations fully leverage the promise of cloud computing.
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cloud management, cloud services, cloud management, it infrastructure, cloud application, analytics, it management, data management, business technology, data center
    
CDW - NetApp
Published By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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data, lake, amazon, web, services, aws
    
AWS
Published By: IBM     Published Date: Feb 11, 2015
As cloud computing gains more traction, more businesses are beginning to align their security strategy to better manage the privacy and compliance challenges of this new deployment model. Indeed, cloud models are being used not only to add compute and storage resources, they are also becoming an imperative for data analytics and mobility. In this paper, we will look at how the growing adoption of cloud computing is changing the way organizations are implementing security.
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security strategies, ibm, deployment model, cloud security, data analytics, security, data center
    
IBM
Published By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
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analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
    
IBM
Published By: IBM     Published Date: Oct 01, 2013
GS Retail company implemented the IBM Smart Analytics System 5600 which brings together System x hardware, software and storage to create a fast and easy-to-deploy, end-to-end business intelligence (BI) environment.
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ibm, ibm smart analytics, ibm smart analytics system 5600, analytics, system x, ibm system x, storage, business intelligence, business analytics, business technology, data center
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
In this Advisory, Clabby Analytics looks more closely at the importance of implementing an integrated infrastructure — and its relationship to business analytics. The paper will examine the business analytics workloads, discuss how these workloads put different demands on the underlying systems and infrastructure, and provide guidance designing an integrated business analytics environment that will provide organizations with high performance, resiliency, and a scalable growth path.
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analytics, power 7, big data, power systems, virtualization, ibm, ibm power systems, infrastructure, storage, integrated infrastructure, clabby analytics, three maxims, buying criteria, analytics buying, system storage
    
IBM
Published By: Storiant     Published Date: Mar 16, 2015
This Technology Spotlight examines the issues that are driving organizations to replace older archive and backup-and-restore systems with business continuity and always-available solutions that can scale to handle extreme data growth while leveraging a cloudbased pricing model.
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storiant, data growth, data center, online data, data storage, storiant, big data, analytics implementations, cloudbased pricing model, long-term storage services solution, long-term storage market, data center design and management
    
Storiant
Published By: IBM     Published Date: Jun 20, 2014
Data can provide enormous business value if it is properly identified, analyzed, stored and managed in accordance with its changing value over the course of its lifecycle.
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ibm, big data, data storage, data analytics, data management, information management, information economics, it management, storage
    
IBM
Published By: IBM     Published Date: Jul 22, 2014
Join this session to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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ibm, cloud, cloud storage, storage, storage environment efficiency, environment efficiency, data protection, data driven analytics, storage systems, storage costs, it budget, it management
    
IBM
Published By: IBM     Published Date: Nov 04, 2014
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Join this session to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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cloud computing, it efficiency, cloud storage, data protection, it management, data management
    
IBM
Published By: IBM     Published Date: Jan 23, 2015
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Watch this webinar to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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storage environment, cloud storage, it efficiency, cloud agility, data-driven analytics, it management, knowledge management, enterprise applications, data management
    
IBM
Published By: Logicalis     Published Date: Aug 29, 2014
Learn how healthcare providers can keep pace with the changing healthcare IT landscape.
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logicalis, healthcare, healthcare it, hit, storage, patient engagement, mobility, byod, healthcare it, disaster recovery, analytics, big data, medical imaging, vna
    
Logicalis
Published By: TeraCloud     Published Date: Dec 11, 2007
Storage spawns where it is needed. This leaves IT to manage many islands of storage devices scattered across the enterprise. Compliance requirements, multimedia-rich applications, unstructured content and a proliferation of databases are pushing IT departments to increase the size and complexity of their storage networks. All of this is occurring at a time when the need for centralized storage management has never been greater.
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storage, storage management, infrastructure, compliance, tsa, teracloud, teracloud storage analytics, san, storage area networks
    
TeraCloud
Published By: IBM     Published Date: Jan 09, 2014
Today, large organizations are being buffeted by a host of changes, many of them unexpected or unfamiliar. Business information is virtually exploding in size, kind and locale, taxing the abilities of even the most progressive enterprises to keep up. Mobile technologies and business analytics that were once exclusively used by employees with specialized needs and skills are now common across the entire workforce. As a result of all this, IT is bending under the strain of developing and delivering necessary new services while at the same time maintaining core service quality. This report will consider these issues, as well as IBM’s position in and efforts around developing next generation enterprise systems solutions, including its System z mainframes, POWER7+ processor-based Power Systems servers and System Storage offerings focused on those areas and use cases.
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enterprise systems, system performance, power7+, power systems servers, system storage, it infrastructure, analytics solutions, business analytics, business processes, charles king, pund-it, inc., ibm, data center design and management
    
IBM
Published By: NetApp     Published Date: May 29, 2018
Read the IDC research report Shared Storage Offers Lower TCO than Direct-Attached Storage for Hadoop and NoSQL Deployments and learn how to: Unify insights across various data sources and multiple cloud deployments Reduce compute, capacity and operational costs Increase security and prevent data loss Plus, learn about the NetApp in-place analytics solution for your existing NAS data and how it can reduce infrastructure costs
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NetApp
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • Optimal application performance and delivery is difficult to achieve in complex environments. • Many IT infrastructure and operations teams are stretched to the breaking point. • Predictive analytics and machine learning can be applied to great effect."
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Download this white paper and discover how Nimble Storage, a Hewlett Packard Enterprise company, achieves six nines measured availability using predictive analytics and data science as the core architecture of every system. Gavin suggest using the next one.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability "
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: • 79% lower IT operational expenses. • 73% fewer trouble ti
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight. This ESG report highlights: • Optimal application performance and delivery is difficult to achieve in complex environments. • Many IT infrastructure and operations teams are stretched to the breaking point. • Predictive analytics and machine learning can be applied to great effect."
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
Applications are the engines that drive today’s digital businesses. When the infrastructure that powers those applications is difficult to administer, or fails, businesses and their IT organizations are severely impacted. Traditionally, IT assumed much of the responsibility to ensure availability and performance. In the digital era, however, the industry needs to evolve and reset the requirements on vendors. HPE Nimble Storage has broken away from convention and transformed how storage is managed and supported with the HPE InfoSight predictive analytics platform. HPE engaged ESG to conduct a quantitative survey of the HPE Nimble Storage installed base, as well as non-HPE Nimble Storage customers, to better assess how HPE InfoSight positively impacts customer environments. Both HPE InfoSight telemetry data and ESG’s quantitative survey data show that the benefit delivered to HPE Nimble Storage customers is significant, driving: • 79% lower IT operational expenses. • 73% fewer trouble ti
Tags : 
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 18, 2018
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out: -Top 5 causes of downtime and poor performance across the infrastructure stack -How machine learning and predictive analytics can prevent issues -Steps you can take to boost performance and availability "
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Hewlett Packard Enterprise
Published By: Juniper Networks     Published Date: Jun 22, 2017
Juniper’s security solutions seamlessly extend across private and public cloud architectures without compromising security, flexibility, and manageability. With midrange, high-performance, space-efficient, next-generation firewalls, smarter and faster centralized management, and highly evolved security intelligence and automation tools, Juniper Networks allows you to secure your network, keep operational costs down, and easily migrate to a hybrid cloud architecture. For more information about Juniper’s security solutions, please visit us at www.juniper.net/us/en/products-services/security and contact your Juniper Networks representative.
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cloud analytics, cloud development, cloud storage, cloud management, cloud security, cloud services, storage analytics
    
Juniper Networks
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