data solutions

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Published By: Red Hat     Published Date: Sep 25, 2014
Enterprises are increasingly adopting Linux as a secure, reliable and high-performing platform that lowers acquisition and operating costs while providing the agility needed to anticipate and react to changing business conditions. In particular, the Red Hat Enterprise Linux (RHEL) operating environment, which is based on the Linux open-source kernel, has become widely deployed by medium-sized and large businesses, by enterprises in their data centers, and in private and public cloud infrastructures. RHEL is distributed and supported by Red Hat Inc., the world’s largest provider of open-source software solutions, accounting for 74.7% of worldwide Linux operating system (OS) revenue. As a development and deployment platform, RHEL offers an efficient, scalable and robust operating environment with certified security and flexible deployment options in physical and virtualized environments.
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enterprise solutions, open-source software, it management, storage, data center
    
Red Hat
Published By: Red Hat     Published Date: Sep 25, 2014
As a strategic partner in your business, you face increasing demands from your line-of-business leaders for new functionality and advanced capabilities, which you must deliver with a constrained IT budget. What could you do to meet these expectations and add value to the business if you could contain costs, increase operational efficiency, and do more with less? You need to overcome several challenges. The cost of software licensing management is rising as a result of maintaining proprietary platforms or legacy technology, making it difficult to modernize your datacenter and migrate to more cost-effective solutions. You’re likely burdened by regulatory compliance mandates, which create enforcement, reporting, and auditing expenses. And, like 67% of IT organizations, your budget is probably shrinking. Red Hat can help. Red Hat® Enterprise Linux® gives you the high-value subscription model, built-in governance processes, and simplified migration path you need to aggressively lower your
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increased demands, functionality, software licensing management, proprietary platforms, legacy technology, datacenter, it organization, it management, enterprise applications, data management
    
Red Hat
Published By: Delphix     Published Date: May 28, 2015
"Security-conscious organizations face a gap between current requirements and capabilities as they relate to data masking. Data volumes are growing exponentially and the risk of data leaks continues to make news, yet many organizations rely on inefficient, legacy approaches to protecting sensitive data. In contrast, top performing companies are turning to virtual databases and service-based masking solutions to ensure that data management functions can keep up with software development.
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Delphix
Published By: Delphix     Published Date: May 28, 2015
A new generation of tools is bringing agility to components of IT operations . Learn how recent advancements in agile data management, data virtualization, and data masking are combining to help companies achieve previously unachievable breakthroughs in IT security and risk management. Starting with a technical dive into data masking and the key concepts surrounding “virtual data”, this eBook also leverages exhaustive industry research and company surveys to translate the business value associated with these solutions.
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Delphix
Published By: Visier     Published Date: Jan 30, 2015
Until recently, ConAgra Foods struggled to collect accurate, analyzable data about its workforce. Information was spread across the organization in siloed systems within various departments and was often difficult to reconcile. In a few short years, however, ConAgra Foods has been able to leverage technology solutions to gain real-time insights into its employee data and can now analyze its workforce across a wide range of subject areas. Download this case study to see how ConAgra Foods transformed the role of HR through analytics, and to get guidance on how your organization can adopt a similar approach.
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visier, conagra, workforce, hr analytics, real-time insights
    
Visier
Published By: HP     Published Date: Feb 02, 2015
Customers across all industries are transitioning to the 3rd Platform, where IT organizations are seeking to leverage mobile, social, cloud, and big data solutions to drive business value. At the same time, the pace at which the business operates is continually accelerating.
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HP
Published By: Extreme Networks     Published Date: Feb 20, 2015
Download this whitepaper to learn key concepts for designing a standards-based data center fabric to meet the requirements of today and tomorrow.
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data center networking, standards-based data center, vendor-specific training, it solutions, it management, knowledge management, enterprise applications
    
Extreme Networks
Published By: Intel Security     Published Date: Oct 21, 2015
Intel Security data protection solutions offer a variety of encryption capabilities and solutions to cover both Windows and Apple devices.
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mcafee, intel, encryption, apple, filevault, microsoft, bitlocker, security, enterprise applications, data security
    
Intel Security
Published By: NetApp     Published Date: Jun 01, 2017
Here are the five core principles for monetizing your storage like never before and winning more customer applications than ever for your cloud and hosted services. These are your keys to the next generation data center.
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netapp, data center solutions, cloud storage
    
NetApp
Published By: MobileIron     Published Date: May 07, 2018
MobileIron knows that cybercriminals are continuously generating more advanced ways to steal your data by any means necessary. That’s why we are committed to continually innovating and delivering new solutions that help our customers win the race against time to get ahead of the latest mobile security threats. As part of that commitment, MobileIron Threat Defense supports the five critical steps to deploying advanced, on-device mobile security. Our solution provides a single, integrated app that delivers several key advantages.
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mobile, threat, defense, security, mobileiron, cyber, criminal
    
MobileIron
Published By: MobileIron     Published Date: May 07, 2018
The types of threats targeting enterprises are vastly different than they were just a couple of decades ago. Today, successful enterprise attacks are rarely executed by the “lone wolf” hacker and instead come from highly sophisticated and professional cybercriminal networks. These networks are driven by the profitability of ransomware and the sale of confidential consumer data, intellectual property, government intelligence, and other valuable data. While traditional PC-based antivirus solutions can offer some protection against these attacks, organizations need highly adaptive and much faster mobile threat defense (MTD) for enterprise devices.
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mobile, threat, detection, machine, ransomware, confidential, networks
    
MobileIron
Published By: MobileIron     Published Date: Aug 20, 2018
MobileIron knows that cybercriminals are continuously generating more advanced ways to steal your data by any means necessary. That’s why we are committed to continually innovating and delivering new solutions that help our customers win the race against time to get ahead of the latest mobile security threats. As part of that commitment, MobileIron Threat Defense supports the five critical steps to deploying advanced, on-device mobile security. Our solution provides a single, integrated app that delivers several key advantages: • A single app of threat protection is fully integrated with EMM. • No user action is required to activate or update on-device security. • Advanced mobile security blocks known and zero-day threats across iOS and Android devices with no Internet connectivity required. • Machine-learning algorithms instantly detect and remediate on-device DNA threats.
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mobile, threat, defense, strategy, mobileiron, innovation
    
MobileIron
Published By: MobileIron     Published Date: Aug 20, 2018
The types of threats targeting enterprises are vastly different than they were just a couple of decades ago. Today, successful enterprise attacks are rarely executed by the “lone wolf” hacker and instead come from highly sophisticated and professional cybercriminal networks. These networks are driven by the profitability of ransomware and the sale of confidential consumer data, intellectual property, government intelligence, and other valuable data. While traditional PC-based antivirus solutions can offer some protection against these attacks, organizations need highly adaptive and much faster mobile threat defense (MTD) for enterprise devices.
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mobile, threat, detection, machine, learning
    
MobileIron
Published By: Okta     Published Date: Jul 27, 2016
With the exploding adoption of software-as-a-service (SaaS) applications, enterprise IT is fundamentally changing. While on-demand services provide tremendous ROI, they also introduce new challenges that must be overcome to truly capitalize on their potential. Identity management problems such as controlling who is granted access to which applications and data and how to control access to these applications leveraging on premise directories such as Active Directory, have become increasingly important. Single Sign-On and provisioning solutions that are optimized for the cloud are necessary to help address these challenges. This whitepaper presents the eight biggest identity and access management (IAM) challenges associated with adopting and deploying cloud and SaaS applications, and discusses best practices for addressing each of them.
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identity, idaas, iam, identity lifecycle management, mobile, provisioning, active directory, security, cloud applications.
    
Okta
Published By: Looker     Published Date: Dec 03, 2015
The focus of modern business intelligence has been self-service; pushing data into the hands of end users more quickly with more accessible user interfaces so they can get answers fast and on their own. This has helped alleviate a major BI pain point: centralized, IT-dominated solutions have been too slow and too brittle to serve the business. What has been masked is a lack of innovation in data modeling. Data modeling is a huge, valuable component of BI that has been largely neglected. In this webinar, we discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility. Topics covered include: • A new architecture beyond direct connect • Language-based, git-integrated data modeling • Abstractions that make SQL more powerful and more efficient
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Looker
Published By: SAP     Published Date: Jul 18, 2016
As your business transitions to a digital enterprise, you can start to give your employees, partners, and customers immediate, data-driven, and even predictive insight into what’s going on – in a way that’s relevant for them. Strategic use of on premise and cloud-based analytics accelerates this process. Read the solution brief to see how SAP is continuing to invest in on premise solutions as part of their effort to reimagine analytics.
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SAP
Published By: Akamai Technologies     Published Date: Apr 25, 2018
Keeping your data safe requires forward-thinking approaches to cybersecurity. Learn how you can augment your existing on-premise infrastructure with security measures in the cloud for a more robust web security posture. Download this guide to learn: Why the cloud is critical for web security How real-world DDoS attacks are testing the limits of on-site solutions Discover the questions some vendors don’t want you to ask
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cloud, security, cyber, cloud, web, ddos
    
Akamai Technologies
Published By: IBM     Published Date: Jan 19, 2017
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, analytics, ecm, data, big data, information governance, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: Jan 19, 2017
With organizations keeping larger and larger quantities of data the question will come up that given dropping storage costs, does uncontrolled data growth even matter? It does matter, and in this IBM publication featuring Gartner research you will learn about this ever growing problem and ways for information managers to address solutions.
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ibm, analytics, data, ecm, big data, information governance, enterprise applications, data management, business technology, data science
    
IBM
Published By: Datastax     Published Date: Aug 23, 2017
Kenzan, a software engineering firm that specializes in building scalable, data-driven solutions, often leverages DataStax Enterprise (DSE) for customers that have high expectations for both performance and value. That means making careful, informed choices when designing the cloud infrastructure that applications run on. Controlling costs is always a priority for businesses that rely on AWS for running DSE. With AWS, it can be tempting to solve performance issues simply by adding more resources until the problem goes away. However, this “solution” results in increased costs which quickly add up over time. In this white paper, Kenzan and DataStax identify some of the key factors to consider when building out infrastructure on AWS, outlining practical steps you can take to optimize performance with DSE on AWS while keeping costs in check.
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enterprise, benchmarking, data
    
Datastax
Published By: Datastax     Published Date: May 14, 2018
"What’s In The Report? The Forrester Graph Database Vendor Landscape discusses the expanding graph uses cases, new and emerging graph solutions, the two approaches to graph, how graph databases are able to provide penetrating insights using deep data relationships, and the top 10 graph vendors in the market today Download The Report If You: -Want to know how graph databases work to provide quick, deep, actionable insights that help with everything from fraud to personalization to go-to-market acceleration, without having to write code or spend operating budget on data scientists. -Learn the new graph uses cases, including 360-degree views, fraud detection, recommendation engines, and social networking. -Learn about the top 10 graph databases and why DSE Graph continues to gain momentum with customers who like its ability to scale out in multi-data-center, multi-cloud, and hybrid environments, as well as visual operations, search, and advanced security."
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Datastax
Published By: Druva     Published Date: Oct 02, 2017
To best address HIPAA compliance, maintain productivity, and mitigate risk in the mobile age, HIPAA-regulated enterprises need to ensure high standards of data security and privacy on all endpoint devices that contain or have access to protected health information (PHI). Get this white paper to learn: What HIPAA means for data on endpoint devices Features you should look for when evaluating endpoint backup solutions How to maintain HIPAA compliance whether data is stored on-premise or in the cloud What other organizations are doing to comply with HIPAA/HITECH
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hipaa, hipaa compliance, risk mitigation, data security, endpoint devices, protected health information
    
Druva
Published By: Druva     Published Date: Nov 09, 2018
The rise of virtualization as a business tool has dramatically enhanced server and primary storage utilization. By allowing multiple operating systems and applications to run on a single physical server, organizations can significantly lower their hardware costs and take advantage of efficiency and agility improvements as more and more tasks become automated. This also alleviates the pain of fragmented IT ecosystems and incompatible data silos. Protecting these virtualized environments, however, and the ever-growing amount of structured and unstructured data being created, still requires a complex, on-prem secondary storage model that imposes heavy administrative overhead and infrastructure costs. The increasing pressure on IT teams to maintain business continuity and information governance are changing how businesses view infrastructure resiliency and long-term data retention—they are consequently looking to new solutions to ensure immediate availability and complete protection of the
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Druva
Published By: Druva     Published Date: Nov 09, 2018
The all-encompassing data center is a thing of the past. Modern data environments are distributed and include remote and branch offices, mobile devices, and the Internet of Things (IoT) as well as cloud solutions such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). There’s more critical data to back up than ever before. Plus, data silos and fragmented management mean poor visibility, which can make it difficult to comply with regional data residency and security rules as well as service-level agreements (SLAs). On-premises data protection has not kept pace. According to a survey by Fujitsu, 45% of IT managers said they had lost data or productivity related to data protection inefficiency within the last year.1 Often, this is because on-premises backups are cumbersome and do not always happen on time.
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Druva
Published By: Group M_IBM Q418     Published Date: Oct 23, 2018
The General Data Protection Regulation (GDPR) framework seeks to create a harmonized data protection framework across the European Union, and aims to give back EU citizens control of their personal data by imposing stricter requirements for those hosting and processing this data, anywhere in the world. IBM is committed to putting data responsibility first and providing solutions that are secure to the core for all customers. As such, IBM Cloud has fully adopted the EU Data Protection Code of Conduct for Cloud Service providers – meaning we agree to meet the entirety of its stringent requirements.
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Group M_IBM Q418
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