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Published By: Schneider Electric     Published Date: Oct 31, 2017
In some cases, adopting cloud IoT platform may make more sense where required processes, communication costs and cloud costs meet sufficient total cost of ownership against deploying MDC. Additionally, in situations that an end-user organization already has a secure room or a modular data center solution where infrastructure can be housed and/or the amount of infrastructure involved may be too small to benefit from power/cooling advantages of being housed in an MDC, the organization may not see a need for an MDC. An MDC is nothing more than a smaller form of a modular data center, and a number of providers have entered the modular data center solutions space in the past. These modular data center solution providers came into the market with high expectations for growth and ROI only to find that high sales were not forthcoming due to limited use cases, so many exited the space.
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algorithm analysis, buyer trend, iot, workloads, market, vendors, data centers
    
Schneider Electric
Published By: CA Technologies     Published Date: Sep 25, 2017
APIs are a critical component of digital business—empowering developers to build apps across any channel and enabling partners to incorporate your data or services into their offerings. By making it easier for other organizations to access your services, you create value and growth opportunities.
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digital experience, mobile applications, business success, innovations, market, risk and cost, software development, ca technologies
    
CA Technologies
Published By: CA Technologies     Published Date: Sep 25, 2017
Enterprise security traditionally relied on a fortress strategy tha locked down user endpoints and created walls around the network. Today, this strategy cannot support or secure the use of mobile devices and SaaS capabilities, which exist outside the fortress. As a result, Chief Information Security Officers (CISOs) have been looking for new solutions that can secure these technologies today, and adapt as threats and business needs change. The credit card industry’s security model is one example that provides a new way to think about risk and contain it—that is, if you can see past the occasional bad rap it’s gotten from attacks and breaches.
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data protection, data security, data optimization, organization optimization, cloud management, virtualization, data center, cloud environment
    
CA Technologies
Published By: DellEMC and Intel®     Published Date: Sep 20, 2017
A related recent development in the data center is converged infrastructure (CI). Instead of the traditional silo deployment approach to storage, compute, and network resources, all infrastructure elements are delivered and managed in a single environment, providing virtualized access to business services in an efficient manner. This is particularly suitable for cloud-based delivery models. However, since CI achieves lower costs through optimization of data center resources, it can be effective for all IT organizations, regardless of the way in which the services are managed or presented. Intel® Xeon® processor Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel logotyp, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside logotyp, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi och Xeon Inside är varumärken som tillhör Intel Corporation eller dess dotterbolag i USA och/eller andra länder
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ultrabook, celeron, celeron inside, core inside, intel, intel logo, intel atom, intel atom inside, intel core, intel inside, intel inside logo, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon, xeon phi
    
DellEMC and  Intel®
Published By: DellEMC and Intel®     Published Date: Oct 18, 2017
A related recent development in the data center is converged infrastructure (CI). Instead of the traditional silo deployment approach to storage, compute, and network resources, all infrastructure elements are delivered and managed in a single environment, providing virtualized access to business services in an efficient manner. This is particularly suitable for cloud-based delivery models. However, since CI achieves lower costs through optimization of data center resources, it can be effective for all IT organizations, regardless of the way in which the services are managed or presented. Intel Inside®. Nya möjligheter på utsidan. Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel logotyp, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside logotyp, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi och Xeon Inside är varumärken som tillhör Intel Corporation eller dess dotterbolag i USA och/eller andra länder
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ultrabook, celeron, celeron inside, core inside, intel, intel logotyp, intel atom, intel atom inside, intel core, intel inside, intel inside logotyp, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon
    
DellEMC and  Intel®
Published By: DellEMC and Intel®     Published Date: Oct 25, 2017
A related recent development in the data center is converged infrastructure (CI). Instead of the traditional silo deployment approach to storage, compute, and network resources, all infrastructure elements are delivered and managed in a single environment, providing virtualized access to business services in an efficient manner. This is particularly suitable for cloud-based delivery models. However, since CI achieves lower costs through optimization of data center resources, it can be effective for all IT organizations, regardless of the way in which the services are managed or presented. Intel Inside®. Intel otwiera nowe mo?liwo?ci. Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel Logo, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside Logo, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi, and Xeon Inside are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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ultrabook, celeron, celeron inside, core inside, intel, intel logo, intel atom, intel atom inside, intel core, intel inside, intel inside logo, intel vpro, itanium, itanium inside, pentium, pentium inside, vpro inside, xeon, xeon phi
    
DellEMC and  Intel®
Published By: Dell EMC     Published Date: Aug 22, 2017
Data is the foundation of the digital economy, but managing data growth poses a big challenge as organizations ramp up cloud adoption. Whether your organization is adopting a hybrid cloud strategy or building modern apps in the cloud, there are many challenges that can limit your effectiveness. With Isilon CloudPools and ECS, you can take advantage of cloud capabilities without a disruptive time-consuming migration of your data. In this webinar, we’ll discuss how Dell EMC puts you in control with a flexible cloud design, allowing you to take an application-centric approach to your data platform.
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Dell EMC
Published By: Carbonite     Published Date: Oct 12, 2017
Today it is possible, even for smaller organizations, to establish both backup and full-fledged hybrid data protection under one robust onsite/offsite underpinning. ESG has four recommendations to assist such organizations as they try to pursue a disk-to-disk-to-cloud data protection strategy in the right way, with particular consideration for EVault by Carbonite.
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evault, midsized businesses, data protection strategy, hybrid data protection, backup, recovery
    
Carbonite
Published By: IBM     Published Date: Oct 26, 2017
The right identity and access management solution can integrate with a healthcare provider’s EMR system to help keep sensitive medical data safe—and keep the organization compliant. It can provide valuable insights and visibility into accounts, access privileges and entitlements, across the wide range of users. By closing the gaps in identity protection, organizations can fight the threats of inadvertent misuse and intentional theft that may lead to security breaches.
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healthcare, electronic medical records, access management solutions, identity protection, medical data
    
IBM
Published By: IBM     Published Date: Oct 26, 2017
As security threats increase and government regulations require more control over users and data, it is important for organizations to evolve their security measures. As enterprises rapidly expand their footprints into cloud, mobile and social, they must ensure that the right users have the right access to sensitive data and applications. Strong as well as optimized identities are becoming increasingly important as insider threat and tightened regulations become more prevalent.
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identity governance, security threats, user access, cloud security, identity management
    
IBM
Published By: CA Technologies EMEA     Published Date: Aug 03, 2017
The GDPR is set to have wide-ranging implications for the type of data which can be used in non-production environments. Organizations will need to understand exactly what data they have and who’s using it, and must be able to restrict its use to tasks for which consent has been given.
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organization scope, data controllers, technology, gdpr, application regulation, corporate rules, contractual clauses, anonymize data, privacy projects
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
A big part of GDPR compliance will focus on how data is collected going forward. But a substantial emphasis will fall on the data businesses already hold. With many mainframes containing generations-old data, a manual data audit is completely unrealistic. That’s where CA comes in. CA Data Content Discovery enables organizations to find, classify and protect mission essential mainframe data—three valuable steps toward achieving GDPR compliance.
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gdpr, personal data, social information, ip addresses, ca technologies, mainframe security, anonymize data, privacy projects
    
CA Technologies EMEA
Published By: Amazon Web Services     Published Date: Oct 09, 2017
As easy as it is to get swept up by the hype surrounding big data, its just as easy for organisations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data's power to transform business, it's critical that organisations overcome these challenges and realise the value of big data. The cloud can help organisations to do so. Drawing from IDG's 2015 Big Data and Analytics Survey, this white paper analyses the top five challenges companies face when undergoing a big data initiative and explains how they can effectively overcome them.
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amazon, web services, intel, migration, data warehousing, organization optimization, security, software
    
Amazon Web Services
Published By: Amazon Web Services     Published Date: Oct 09, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
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cost effective, data storage, data collection, security, compliance, platform, big data, it resources
    
Amazon Web Services
Published By: IBM     Published Date: Jul 06, 2017
In order to exploit the diversity of data available and modernize their data architecture, many organizations explore a Hadoop-based data environment for its flexibility and scalability in managing big data. Download this white paper for an investigation into the impact of Hadoop on the data, people, and performance of today's companies.
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hadoop, flexibility, scalability, data architecture
    
IBM
Published By: IBM     Published Date: Sep 28, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. This paper outlines what readers should consider when making a strategic commitment to a database platform that will act as a bridge from legacy environments to the cloud.
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bridging the cloud, database, hybrid cloud, cloud organization, strategic commitment
    
IBM
Published By: IBM     Published Date: Nov 03, 2017
Ironically, the most important business decisions are too often based not on the best available data and analysis, but on the judgment calls of HIPPOs — the highest-paid people in the organization. In large part, these individuals became HIPPOs in the first place because, over the course of their professional careers, their intuition and gut feel has tended to be more right than wrong. This approach may have sufficed in simpler, slower-moving times. But modern enterprises are too connected and too fast-paced for important business decisions to be made strictly on individual intuition and gut feel. For better-informed decision-making, your organization’s decision-makers need timely access to information they can rely on.
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hippo, ibm, decision-makers, modern enterprise
    
IBM
Published By: Druva     Published Date: Sep 27, 2017
Blue Hill Research examined how organizations are gaining greater value from their archive of user data, converging data availability, archiving and governance to increasingly meet their wider corporate needs. Learn how unifying data availability and governance is bringing increased utility to organizations.
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archiving, modern data, business cloud
    
Druva
Published By: Druva     Published Date: Sep 27, 2017
Wondering what data protection will look like in 2017? In this report, ESG provides new research on what is driving the need for better data protection and recovery in organizations of all sizes with major trends pointing to the cloud as the ultimate game changer.
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data protection, data recovery, cloud
    
Druva
Published By: Druva     Published Date: Sep 27, 2017
There are significant differences between a cloud-native data protection solution and those that call themselves “clouds.” Understanding the value of each requires asking the right questions based on the needs of the organization. This executive brief provides critical insights into the pros and cons of each model.
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cloud protection, data protection, enterprise recovery, cloud
    
Druva
Published By: Druva     Published Date: Sep 27, 2017
Managing the backup and restore of virtual machines in a distributed environment is typically a convoluted process. Learn how a cloud-native platform for these data protection workloads enables organizations to reduce the demands on IT teams as well as their budgets.
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vmware, data protection, cloud protection, native platforms
    
Druva
Published By: MarkLogic     Published Date: Nov 07, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic.
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MarkLogic
Published By: MarkLogic     Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way. This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to: Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of data being stored Load as is and harmonize unstructured and semi-structured data Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture
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MarkLogic
Published By: MarkLogic     Published Date: Nov 07, 2017
Your high-stakes data projects don’t have to end – as analysts predict – in failure. Don’t just rely on legacy technology and outdated thinking - the key is to start your next data project armed with the right technology and mindset to succeed. This paper will give you insights and guidelines to help you learn how to leverage all of your data to reach your data integration objectives with less time and expense than you might imagine. Change is good, and in this paper we’ll give you real-world examples of organizations that embraced change and found success.
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MarkLogic
Published By: MarkLogic     Published Date: Nov 07, 2017
This eBook explains how databases that incorporate semantic technology make it possible to solve big data challenges that traditional databases aren’t equipped to solve. Semantics is a way to model data that focuses on relationships, adding contextual meaning around the data so it can be better understood, searched, and shared. Read this eBook, discover the 5 steps to getting smart about semantics, and learn how by using semantics, leading organizations are integrating disparate heterogeneous data faster and easier and building smarter applications with richer analytic capabilities.
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MarkLogic
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