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Published By: Workday APAC     Published Date: Dec 11, 2018
Key Findings Service-centric cloud ERP solutions have matured and are increasingly being adopted by midsize and large organizations. Many vendors offer service-centric cloud ERP, but their suitability varies by organization size, geographic presence and industry. An emerging competitive differentiator is vendors' delivery of "packaged" integration, which enables customers to loosely couple their cloud ERP products with professional services administration (PSA), CRM and other vertical-specific applications. Cloud-based service-centric solutions now offer feature-parity with, and the same functional depth as, established on-premises solutions.
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Workday APAC
Published By: NetApp     Published Date: Nov 27, 2017
The object storage market has gained momentum. Gather insights into recent developments in both on-premises and public cloud and their degree of importance for staying ahead.
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NetApp
Published By: McAfee     Published Date: Nov 19, 2013
This technology blueprint discusses how implementing McAfee SaaS Email Protection and Continuity in a hybrid configuration with McAfee Email Gateway supports green initiatives through reduced on-premises email volume and equipment usage.
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mcafee email gateway, mcafee email and security
    
McAfee
Published By: Asure Software     Published Date: Nov 06, 2013
This Asure Software whitepaper provides insight into how AsureForce® Time & Labor Management Solutions delivered via the Cloud can provide ROI across an organization. In addition, the paper highlights the important measures IT leaders must take to position a shift from on-premise software to SaaS -- through careful evaluation of the potential benefits, costs and risks associated with the change
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workforce management, talent management, time and labor management, labor management solutions, time and labor management solutions, cloud based solutions, cloud based hr solutions, hr solutions
    
Asure Software
Published By: Epicor     Published Date: Mar 05, 2018
If you’re a manufacturer and have questions about deploying your enterprise resource planning (ERP) system in the cloud, here’s your answer—it’s time to move. Cloud ERP solutions provide a number of benefits for manufacturers, and those who make the switch are seeing how simple, economic, and reliable this type of deployment can be. In this eBook, you’ll discover the top 10 reasons why Epicor customers are choosing to deploy their ERP in the cloud rather than on premises, including: • Economic benefits • Better use of IT resources • Greater security • Easier updates • Improved mobility and collaboration • Faster time to value Download the eBook to learn more about how cloud ERP from Epicor can help your manufacturing business.
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Epicor
Published By: Epicor     Published Date: Aug 15, 2018
If you’re a manufacturer and have questions about deploying your enterprise resource planning (ERP) system in the cloud, here’s your answer—it’s time to move. Cloud ERP solutions provide a number of benefits for manufacturers, and those who make the switch are seeing how simple, economic, and reliable this type of deployment can be. In this eBook, you’ll discover the top 10 reasons why Epicor customers are choosing to deploy their ERP in the cloud rather than on premises, including: • Economic benefits • Better use of IT resources • Greater security • Easier updates • Improved mobility and collaboration • Faster time to value Download the eBook to learn more about how cloud ERP from Epicor can help your manufacturing business.
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erp software, enterprise resource planning software, saas, cloud erp, epicor erp
    
Epicor
Published By: Epicor     Published Date: Jul 06, 2017
You rely on cloud technology more than you may realize—when you post to social media, download music, or view your bank balance online. These everyday uses are not so different from the opportunities the cloud affords your business. Cloud technology has proven to do several things very well—improve cash flow, increase business capabilities, and simplify processes across the organization—all in a platform that’s more accessible and reliable than on-premises hardware. Migrating to the cloud brings faster access to the data and processes your business needs to compete and grow in today’s marketplace. Download this white paper from Epicor Software to learn why moving to the cloud is easier than you might expect.
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erp software, enterprise resource planning software, saas, distribution
    
Epicor
Published By: AWS     Published Date: Oct 01, 2019
As organizations choose to leverage Kubernetes on-premises and in the cloud, the complexity of management is a growing challenge, due to the lack of consistency and different tools needed across hybrid deployments. With the Cisco Hybrid Solution for Kubernetes on AWS, you can easily set up and manage your on-premises and Amazon Elastic Kubernetes Service (Amazon EKS) clusters with one solution. Download the eBook to learn how this comprehensive offering can help you quickly deploy Kubernetes clusters with consistency and supports the full lifecycle of containerized and non-containerized apps.
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AWS
Published By: AWS     Published Date: Oct 01, 2019
Containers have become the new infrastructure standard for development teams. While the “DIY container approach” (un-orchestrated containers) still has its use cases (e.g. low latency, longer compute jobs, predictable traffic), production-grade deployments require orchestration. DevOps teams are increasingly leveraging the benefits of Kubernetes and accelerating its adoption, taking it from a 27% adoption rate in 2018 to a 48% adoption rate in 2019 according to the RightScale “2019 State of the Cloud Report,” from Flexera. The same report also positions Amazon Elastic Kubernetes Service (Amazon EKS) as one of the fastest-growing managed Kubernetes offerings available, with a 44% adoption rate. Previously, containers were a technology deployed by individual teams – and were typically used for “application testing” in the enterprise world. Today, many organizations are now not only seeing the benefits of operationalizing containers to deploy production applications, but also re-positioni
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AWS
Published By: AWS     Published Date: Oct 14, 2019
Containers have become the new infrastructure standard for development teams. While the “DIY container approach” (un-orchestrated containers) still has its use cases (e.g. low latency, longer compute jobs, predictable traffic), production-grade deployments require orchestration. DevOps teams are increasingly leveraging the benefits of Kubernetes and accelerating its adoption, taking it from a 27% adoption rate in 2018 to a 48% adoption rate in 2019 according to the RightScale “2019 State of the Cloud Report,” from Flexera. The same report also positions Amazon Elastic Kubernetes Service (Amazon EKS) as one of the fastest-growing managed Kubernetes offerings available, with a 44% adoption rate. Previously, containers were a technology deployed by individual teams – and were typically used for “application testing” in the enterprise world. Today, many organizations are now not only seeing the benefits of operationalizing containers to deploy production applications, but also re-positioni
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AWS
Published By: IBM     Published Date: Apr 07, 2015
You may be considering the move to a SaaS model for several reasons: it's cheaper, easier, more flexible. But then reality sets in. You can't afford to move to SaaS right away. Many of your apps are too mission-critical to trust SaaS at this point, and security restrictions and company guidelines will not allow you to use SaaS for many apps. However, for some apps, it's not an issue, and that number continues to grow. So how do you reconcile? Enter stage left-- Hybrid APM. With the ability to pick and choose between SaaS or on-premises monitoring for your different applications and components, wherever they reside, your troubles are alleviated and the shift towards SaaS can be seamless.
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ibm, saas, mission-critical, security, apps, growth, apm, cloud
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Data—dynamic, in demand and distributed—is challenging to secure. But you need to protect sensitive data, whether it’s stored on premises, off-site, or in big-data, private- or hybrid-cloud environments. Protecting sensitive data can take many forms, but nearly any organization needs to keep its data accessible, protect data from loss or compromise, and comply with a raft of regulations and mandates. These can include the Payment Card Industry Data Security Standard (PCI DSS), the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and the European Union (EU) General Data Protection Regulation (GDPR). Even in the cloud, where you may have less immediate control, you must still control your sensitive data—and compliance mandates still apply.
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data, security, encryption, cloud environments, data regulation
    
IBM
Published By: IBM     Published Date: Oct 16, 2017
Data—dynamic, in demand and distributed—is challenging to secure. But you need to protect sensitive data, whether it’s stored on-premises, off-site, or in big-data, private- or hybrid-cloud environments. Protecting sensitive data can take many forms, but nearly any organization needs to keep its data accessible, protect data from loss or compromise, and comply with a raft of regulations and mandates. These can include the Payment Card Industry Data Security Standard (PCI DSS), the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and the European Union (EU) General Data Protection Regulation (GDPR). Even in the cloud, where you may have less immediate control, you must still control your sensitive data—and compliance mandates still apply.
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ibm, encryption, hybrid-cloud, data protection
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Jan 16, 2018
Get enterprise-class encryption to help meet regulatory demands and secure data in on-premises, cloud and hybrid cloud environments.
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encryption, regulatory demands, ibm encryption
    
Group M_IBM Q1'18
Published By: Pure Storage     Published Date: Jan 12, 2018
Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models. The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.
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data, storage, scalability, cost efficiencies, pure storage
    
Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models. The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Apache® Spark™ has become one of the most rapidly adopted open source platforms in history. Demand is predicted to grow at a compound annual rate of 67% per year between 2017 and 2020, with the cumulative Spark market valued at more than $9 billion during that period, according to the research firm MarketAnalysis.com.
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Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
With the growth of unstructured data and the challenges of modern workloads such as Apache Spark™, IT teams have seen a clear need during the past few years for a new type of all-flash storage solution, one that has been designed specifically for users requiring high levels of performance in file- and object-based environments. With FlashBlade™, it addresses performance challenges in Spark environments by delivering the consistent performance of all-flash storage with no caching or tiering, as well as fast metadata operations and instant metadata queries.
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Pure Storage
Published By: Altiscale     Published Date: Dec 16, 2014
This webinar will explore the merits of the Hadoop SaaS approach, relative to competing cloud and on-premise Hadoop solutions that exist today.
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altiscale, hadoop, saas, hadoop saas, cloud service
    
Altiscale
Published By: Dell EMC     Published Date: Aug 17, 2017
The migration from a traditional enterprise IT infrastructure architecture with separate servers, separate traditional SAN, and separate hyperscale public cloud to an integrated hyperconverged architecture including Server SAN and an integrated hybrid cloud is a profound change. Wikibon explores the premise that the migration is justified, and the optimum hybrid cloud strategy is to use the same architecture and software for both the on-premises True Private Cloud and the public cloud services. Wikibon uses the term “True Hybrid Cloud” to describe this approach.
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hyper-converged infrastructure, hci, it infrastructure, vmware environment, it performance
    
Dell EMC
Published By: dinCloud     Published Date: Jun 19, 2018
Under the leadership of Stephen Arndt, consulting CIO, Medicalodges – a Kansas-based post-acute healthcare company – was looking to transition away from maintaining its own hardware on premises and needed a partner to help its small IT team maintain and monitor its data center infrastructure. As a healthcare services provider, Medicalodges is subject to HIPAA regulation. In order to maintain compliance, the company required a solution with inherent business continuity and redundancy.
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healthcare, company, infrastructure, data, center
    
dinCloud
Published By: Workday Netherlands     Published Date: Aug 07, 2018
Maar executives schrikken er vaak voor terug om informatie buiten de onderneming te verplaatsen. Zij geloven - ten onrechte - dat hun IT-personeel het beste in staat is om gevoelige informatie te beveiligen. Voor een succesvolle toekomst moeten CIO’s hun traditionele visie op beveiliging (on-premise is het beste) laten varen, en het beheer van hun belangrijkste applicaties overdragen aan een cloudprovider.
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cloud oplossingen, data oplossingen
    
Workday Netherlands
Published By: Workday Netherlands     Published Date: Aug 07, 2018
Maar executives schrikken er vaak voor terug om informatie buiten de onderneming te verplaatsen. Zij geloven - ten onrechte - dat hun IT-personeel het beste in staat is om gevoelige informatie te beveiligen. Voor een succesvolle toekomst moeten CIO’s hun traditionele visie op beveiliging (on-premise is het beste) laten varen, en het beheer van hun belangrijkste applicaties overdragen aan een cloudprovider.
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cloud oplossingen, data oplossingen
    
Workday Netherlands
Published By: Workday Netherlands     Published Date: Aug 07, 2018
Maar executives schrikken er vaak voor terug om informatie buiten de onderneming te verplaatsen. Zij geloven - ten onrechte - dat hun IT-personeel het beste in staat is om gevoelige informatie te beveiligen. Voor een succesvolle toekomst moeten CIO’s hun traditionele visie op beveiliging (on-premise is het beste) laten varen, en het beheer van hun belangrijkste applicaties overdragen aan een cloudprovider.
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cloud oplossingen, data oplossingen
    
Workday Netherlands
Published By: IBM     Published Date: Jul 02, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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IBM
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