cloud data platform

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Published 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 HPEs 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
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 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 HPEs 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
Published By: Cohesity     Published Date: Aug 09, 2019
IT organizations everywhere are undergoing significant transformation to keep pace with the needs of their businesses. Theyre tasked with consolidating data centers and migrating both workloads and data to the cloud. The transition has been easier for some than others. As hybrid architectures increasingly become the norm, how are enterprises gaining complete visibility, simplifying management, and making use of all of their databoth on-premises and in the cloud? Five enterprises explain how theyve replaced multiple products that created legacy data silos with Cohesity a single, hyperconverged softwaredefined platform with native Microsoft Azure integration for simplified secondary data and applications. For them, Cohesity and Azure together boost IT agility while lowering costs, solving critical secondary data challenges from long-term retention, storage tiering, test/dev, disaster recovery and cloud-native backup in a proven hybrid cloud architecture.
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Cohesity
Published By: Cohesity     Published Date: Aug 09, 2019
An Italian bank with an appetite for innovation and infrastructure standardization, automated, and cloud-ready Cohesity Data platform. In two years, the organization has simplified its secondary stage environment with a single data management pane to improve backup SLAs, cut costs, and deliver up-to-date and relevant data for test & dev and analytics teams at scale to test fast, fail fast, and innovate fast.
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Cohesity
Published By: IBM     Published Date: Jun 29, 2018
IBM LinuxONE is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor II, is designed for businesses where the following may be required: protecting sensitive transactions and minimizing business risk accelerating the movement of data, even with the largest databases growing users and transactions instantly while maintaining operational excellence accessing an open platform that speeds innovation
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IBM
Published By: Dome9     Published Date: Apr 25, 2018
It is no secret; security and compliance are at the top of the list of concerns tied to cloud adoption. According to a recent 2017 Cloud Security survey to over 350,000 members of the LinkedIn Information Security Community, IT pros have general concerns about security in the cloud (33 percent), in addition to data loss and leakage risks (26 percent) and legal and regulatory compliance (24 percent)1. The number of reported breaches in enterprise datacenter environments still far exceeds the reported exposure from cloud platforms, but as businesses start using public clouds to run their mission-critical workloads, the need for enterprise-grade security in the cloud will increase. Public cloud environments require a centralized, consolidated platform for security that is built from the ground up for the cloud, and allows administrators to monitor and actively enforce security policies. The tools and techniques that worked to secure datacenter environments fail miserably in the cloud. Se
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Dome9
Published By: Fortinet EMEA     Published Date: Nov 26, 2018
Companies are increasingly moving data and applications to public cloud platforms. Sometimes these transitions happen with ITs approval and guidance; sometimes they dont. Regardless, a company that stores data and uses applications in multiple public clouds creates a challenging environment for the security architect. Its difficult to gain visibility and control of the security posture when the organization relies on an assortment of disparate cloud platforms that all take different approaches to security and offer different tools. And its hard for a small security staff to stay on top of disparate solutions that fail to integrate.
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Fortinet EMEA
Published By: SAP     Published Date: May 22, 2012
Business intelligence technology must meet the demands of tomorrow's "digital natives"; integrate seamlessly with cloud data and platforms; alignpeople, conversations, and data with business strategy; and make the most of the infrastructures we have today.
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sap, business intelligence, business analytics, technology, application integration
    
SAP
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; its a whole new approach to getting more value from your data. Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results. Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployedeither on premises or in the cloudthey face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets. Oracle has a better way. Download this whitepaper to f
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Oracle EMEA
Published By: Red Hat     Published Date: Jan 08, 2014
This executive brief provides results of a CIO Magazine Quick Pulse poll sponsored by Red Hat which highlights the industry move to private cloud technology and hybrid cloud environments through dual-source virtualization wherein companies value security, performance and support in a quest to build the new IT paradigm.
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red hat, virtualization, storage, cloud, cloud data, hybrid cloud, cloud management, platform as a service
    
Red Hat
Published By: Rubrik EMEA     Published Date: Jan 04, 2019
Rubrik Cloud Data Management is a single, unified software platform to manage your physical, virtual, and cloud data. With Rubrik, enterprises can drastically simplify their data protection processes, automate workflows, and migrate data to the cloud. The results are powerful: faster recoveries, easier management, no forklift upgrades, and hard dollars saved for other projects. Organizations pursuing cloudfirst policies can use Rubrik to archive to the cloud, create cloud DR capabilities, or perform cloud-native backup. And with Rubriks Polaris SaaS platform, it has never been easier to unify data across data centers and clouds, simplifying operations and governance. DATA
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data, cloud, application, management, software, databases, servers, user
    
Rubrik EMEA
Published By: Dell Server     Published Date: Aug 07, 2018
IT is in the midst of one of its major transformations. IDC has characterized this paradigm shift as the third platform, driven by innovations in cloud, big data, mobility and social technologies. Progressive enterprises are seeking to leverage third-platform technologies to create new business opportunities and competitive differentiation through new products such as Dell EMC PowerEdge Servers powered by Intel Xeon Platinum processor and services, new business models and new ways of engaging customers.
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Dell Server
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: Dell PC Lifecycle     Published Date: Mar 07, 2018
IT is in the midst of one of its major transformations. IDC has characterized this paradigm shift as the third platform, driven by innovations in cloud, big data, mobility and social technologies. Progressive enterprises are seeking to leverage third-platform technologies to create new business opportunities and competitive differentiation through new products and services, new business models and new ways of engaging customers.
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partner, dell, emc, windows, server, enterprises
    
Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: May 15, 2018
Windows Server 2016 is an important release in enabling IT to deliver on the promise of the third platform. It provides a path to a seamless, integrated cloud environmentincorporating public, private and hybrid modelswith the software-defined data center as the hub. In migrating to this next-generation data center model, it is essential that IT leaders choose the right partner for the compute platform, as well as storage, networking and systems management
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Dell PC Lifecycle
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 cloudnamely control, cost and performance.
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data, storage, scalability, cost efficiencies, pure storage
    
Pure Storage
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, well 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 05, 2017
Not long ago, the biggest concern for IT decision makers considering moving workloads to the cloud was security. Thats no longer the case. Today, the main obstacle to cloud adoption is different but familiar: the pain of migrating data. Traditional data migration causes major headaches: Hours or days of downtime while servers replicate and stakeholders verify functionality Data loss and migration failures due to inadequate tools and inability to test Key internal resources diverted from strategic initiatives
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data migration, cloud security, carbonite, data security, cloud platform, cloud adoption
    
Carbonite
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs. Download The Essential Guide to Infrastructure Machine Data for: The benefits of machine data for network, remote, web, cloud and server monitoring IT infrastructure monitoring data sources to include in your machine data platform Machine data best practices
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
    
Splunk
Published By: Attunity     Published Date: Nov 15, 2018
Change data capture (CDC) technology can modernize your data and analytics environment with scalable, efficient and real-time data replication that does not impact production systems. To realize these benefits, enterprises need to understand how this critical technology works, why its needed, and what their Fortune 500 peers have learned from their CDC implementations. This book serves as a practical guide for enterprise architects, data managers and CIOs as they enable modern data lake, streaming and cloud architectures with CDC. Read this book to understand: ? The rise of data lake, streaming and cloud platforms ? How CDC works and enables these architectures ? Case studies of leading-edge enterprises ? Planning and implementation approaches
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optimize customer service
    
Attunity
Published By: Attunity     Published Date: Feb 12, 2019
Read this checklist report, with results based on the Eckerson Groups survey and the Business Application Research Center (BARC), on how companies using the cloud for data warehousing and BI has increased by nearly 50%. BI teams must address multiple issues including data delivery, security, portability and more before moving to the cloud for its infinite scalability and elasticity. Read this report to understand all 7 seven considerations what, how and why they impact the decision to move to the cloud.
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cloud, business intelligence, analytics, cloud data, data lake, data warehouse automation tools, dwa, data warehouse
    
Attunity
Published By: IBM     Published Date: May 02, 2017
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance. Virtualization is the creation of a logical rather than an actual physical version of something. such as a storage device, hardware platform, operating system, database or network resource. The usual goal of virtualization is to centralize administrative tasks while improving resilience, scalability and performance and lowering costs. Virtualization is part of an overall trend in enterprise IT towards autonomic computing, a scenario in which the IT environment will be able to manage itself based on an activity or set of activities. This means organizations use or pay for computing resources only as they need them.
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data protection, data security, data optimization, organization optimization, cloud management, virtualization, data center, cloud environment
    
IBM
Published By: Cohesity     Published Date: May 04, 2018
Cohesity provides the only hyper-converged platform that eliminates the complexity of traditional data protection solutions by unifying your end-to-end data protection infrastructure including target storage, backup, replication, disaster recovery, and cloud tiering. Cohesity DataPlatform provides scale-out, globally deduped, highly available storage to consolidate all your secondary data, including backups, files, and test / dev copies. Cohesity also provides Cohesity DataProtect, a complete backup and recovery solution fully converged with Cohesity DataPlatform. It simplifies backup infrastructure and eliminates the need to run separate backup software, proxies, media servers, and replication. This paper specifically focuses on the business and technical benefits of Cohesity DataPlatform for the data protection use case. It is intended for IT professionals interested in learning more about Cohesitys technology differentiation and advantages it offers for data protection - (i) Elim
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Cohesity
Published By: Cohesity     Published Date: Oct 02, 2018
Public cloud expansion will continue to see double digit growth over the next five years according to IDC. Making the public cloud interoperable with on-premises solutions needs to be part of your hybrid cloud strategy for secondary data workloads. Legacy solutions, however werent architected with the cloud in mind. They require use of cloud gateways and dont scale well in the cloud. Cohesity integrates with Amazon Web Services, Microsoft Azure, and Google Cloud Platform to extend your on-premises data protection solution to these public cloud services. Our built-in cloud capabilities give you flexibility to use the cloud for multiple use cases. Download the solution brief for more details.
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solution, brief, enterprise, grade, capabilities, public, cloud, data
    
Cohesity
Published By: Splunk     Published Date: Nov 29, 2018
IT organizations struggle with numerous challenges hybrid environments, lack of visibility during cloud migration, multiple infrastructure monitoring tools, and reliance on manual processes. Yet according to a 2018 global survey, less than half of IT practitioners are confident they can ensure performance and system availability with their current toolset. As a Splunk customer, you understand the power of running your monitoring and logging environment in a machine data platform. Are you utilizing your machine data platform to effectively run APM, infrastructure monitoring and Network performance monitoring and diagnostics? This guide outlines the 8 biggest mistakes IT practitioners make and provides solutions, key takeaways and real-world examples to help you improve IT monitoring and troubleshooting in your organization. Download your copy to learn how to: Achieve end-to-end-visibility throughout cloud migration Find trends and root cause faster with automated investigations
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application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
    
Splunk
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