enterprise data

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Published By: IO     Published Date: Dec 31, 2015
The primary focus of any data center is the critical applications that form an enterprise’s business and operational core—its commercial and technical heart. Last-generation facilities, which were often designed using traditional methods created during the mainframe era, simply aren’t capable of handling the requirements of today’s businesscritical applications. Additionally, deploying a data center with inadequate or inappropriate resources, or placing the facility in the wrong location, can negatively impact application performance and, in turn, enterprise success.
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IO
Published By: Compass Datacenters     Published Date: Mar 02, 2016
The demand for more efficient and cost effective computing has driven organizations large and small to reevaluate their strategies. This examination can incorporate many aspects, encompassing system architecture and software platforms, as well as the IT hardware, and of course the data center facility. Moreover, there are many strategic options for the enterprise CIO and CTO to consider, such as the possibility of direct or indirect ownership and operation of their own data center facility, as well as colocation, cloud, or hybrid combinations thereof. Nonetheless, the IT hardware must ultimately reside in a physical data center that will provide conditioned power and safe environmental conditions for the IT equipment.
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Compass Datacenters
Published By: RagingWire Data Centers     Published Date: Oct 09, 2015
Data Center Migration, three words that can cause sleepless nights to even the most experienced professionals involved in enterprise IT and facilities departments. While it can be a daunting challenge, it also offers a great opportunity to improve and rethink your IT architecture and examine how well it meshes with your organization’s long term business strategies. This whitepaper examines some of the major strategic issues that should be an integral part of your evaluation when forming a data center migration strategy.
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RagingWire Data Centers
Published By: CyrusOne     Published Date: Jul 06, 2016
CyrusOne’s quick-delivery data center product provides a solution for cloud technology, social media and enterprise companies that have trouble building or obtaining data center capacity fast enough to support their information technology (IT) infrastructure. In trying to keep pace with overwhelming business growth, these companies often find it hard to predict their future capacity needs. A delay in obtaining data center space can also delay or stop a company’s revenue-generating initiatives, and have significant negative impact on the bottom line.
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CyrusOne
Published By: QTS Realty Trust, Inc.     Published Date: Jul 19, 2016
pyright © 2016, Data Center Frontier 3 SPECIAL REPORT Chicago Data Center Market Market Overview & Analysis The Windy City is a major hub for Internet and financial infrastructure, with active communities of data center users and service providers. Chicago is America’s third-largest city, and an active business market with nearly 40 Fortune 500 companies headquartered in the metro area. Chicago is distinctive in that it sees demand for data center space from a wide range of industries. It is home to major trading exchanges for stocks, commodities and options, making the city a hotbed of activity for the financial services industry. The region has also become a favored location for hosting, colocation and cloud computing companies. Chicago sees strong demand from the enterprise sector as well, both for primary data centers and as backup/disaster recovery facilities.
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QTS Realty Trust, Inc.
Published By: Intel     Published Date: May 06, 2016
Energy costs are the fastest-rising expense for today’s data centers. Naturally, power consumption is a top concern for managers of data center, enterprise, and cloud environments. Moreover, there are multiple proprietary power measurement and control protocols supported by various solution providers, making it challenging to have a single solution for power management across all devices in the data center. After a successful Intel IT proof of concept (PoC) using Intel® Data Center Manager (Intel® DCM) that ended in 2013, we deployed the solution across data centers in multiple countries. In our initial use of Intel DCM, we considered the solution to be focused primarily on gaining a better understanding of the power consumption and thermal status of servers. With broad deployment, we learned that Intel DCM is capable of much more.
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Intel
Published By: Oracle     Published Date: Nov 28, 2017
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: Rohde & Schwarz Cybersecurity     Published Date: Nov 30, 2017
When Barracuda first engaged with Rohde & Schwarz Cybersecurity in 2007, enterprises were more concerned about the unauthorized use of Skype, other P2P applications and instant messaging. Although the need for application control and awareness remains, enterprise concerns are shifting to securing enterprise applications hosted in private and public clouds, protecting east-west data center traffic and preventing unwanted traffic and malware on the corporate network.
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firewall, r&s, visibility, application, network, secure, cloud, business applications
    
Rohde & Schwarz Cybersecurity
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: Group M_IBM Q1'18     Published Date: Jan 17, 2018
IBM Security Guardium tools can be the cornerstone of an enterprise’s compliance initiative for GDPR personal data protection requirements.
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gdpr, compliance, data protection, personal data
    
Group M_IBM Q1'18
Published By: Commvault ABM Oct     Published Date: Feb 15, 2018
Enterprises and managed service providers (MSPs) have some similar challenges in the realm of data protection. Both have to deal with expansive environments—with enterprises protecting distributed offices/geographies, and MSPs protecting many independent subscribers. Both also have been seeing production data storage and secondary protection storage demands rising. Enterprises and MSPs alike should therefore be looking for data protection architectures that have scale-out capabilities built into their core foundation.
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data protection, msps, data storage, scale out data protection
    
Commvault ABM Oct
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 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. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: F5 Networks Inc     Published Date: Jan 25, 2018
With digital transformation reshaping the modern enterprise, applications represent a new class of assets and an important source of differentiation. The ever-more-competitive digital economy requires that your applications be delivered with unprecedented speed, scale, and agility, which is why more and more organizations are turning to the cloud. This explosive growth of apps hosted in the cloud creates a world of opportunities—and a whole new set of challenges for organizations that must now deploy and manage a vast portfolio of applications in multi-cloud environments. Automation and orchestration systems can help streamline and standardize IT processes across traditional data centers, private clouds, and public clouds. But with rapid innovation come concerns about security and delivering a consistent experience across environments.
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application delivery, digital transformation, cloud technology, application, multi-cloud enviornment
    
F5 Networks Inc
Published By: IBM     Published Date: Oct 17, 2017
Banks today are continuously challenged to meet rigorous regulatory requirements. They must implement strict governance programs that enable them to comply with a wide variety of regulations stemming from the financial crisis that began in 2007, including the DoddFrank Act, Basel Committee on Banking Supervision regulations, the General Data Protection Regulation (GDPR), the Revised Payment Services Directive (PSD2) and the revised Markets in Financial Instruments Directive (MiFID2). Many of these new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data
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IBM
Published By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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IBM
Published By: Symantec     Published Date: Dec 13, 2017
Enterprise’s are increasingly under threat from sophisticated attacks. In fact, research has found that threats dwell in a customer’s environment an average of 190 days1. These Advanced Persistent Threats use stealthy techniques to evade detection and bypass traditional security defenses. Once an advanced attack gains access to a customer environment the attacker has many tools to evade detection and begin to exploit valuable resources and data. Security teams face multiple challenges when attempting to detect and fully expose the extent of an advanced attack including manual searches through large and disparate data sources, lack of visibility into critical control points, alert fatigue from false positives, and difficulty identifying and fixing impacted endpoints.
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investigation, exposure, attacks, endpoints, network, email, cloud, security
    
Symantec
Published By: Mimecast ABM Q4     Published Date: Nov 22, 2017
Mimecast Cloud Archive has long set the industry standard for enterprise information archiving, helping to keep corporate knowledge available, protecting and preserving it while simplifying management and administration. By aggregating data across multiple platforms, organizations gain long-term business insights and create a secure, digital corporate memory while at the same time reducing costs and risks for legal and compliance teams. IT teams can reduce administrative overhead with streamlined management and simplified data recovery. Anytime, anywhere access to archive data improves employee productivity and efficient workflow efficiency. Customers can rest assured that their data is always-available, always-replicated and always-safe.
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datenarchivierung, verantwortlich, eigentlich, organisation, it-mitarbeitern, wissensarbeiter, fuhrungsebene
    
Mimecast ABM Q4
Published By: Sangoma     Published Date: Jan 30, 2013
The most cost effective, easiest to provision, and easiest to manage line of SBCs on the market. Sangoma's Vega Enterprise SBC provides full-featured protection and easy interconnection at the edge of enterprise networks.
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sbc, enterprise appliance, vega sbc, sangoma, datasheet, cost effective solution, networking, knowledge management
    
Sangoma
Published By: Sangoma     Published Date: Jan 30, 2013
The most cost effective, easiest to provision, and easiest to manage line of Session Border Controllers on the market. Sangoma’s Vega Enterprise SBC VM/Hybrid provides full-featured protection and easy interconnection.
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vega sbc, enterprise, vm hybrid, data sheet, easy to use, cost effective, sbc solution, networking
    
Sangoma
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
The demand for databases is on the rise as organizations build next-generation business applications. NoSQL offers enterprise architecture (EA) pros new choices to store, process, and access new data formats, deliver extreme web-scale, and lower data management costs. Forrester’s 26-criteria evaluation of 15 big data NoSQL solutions will help EA pros understand the choices available and recommend the best for their organization. This report details our findings about how each vendor fulfills our criteria and where they stand in relation to each other to help EA.
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nosql, market, industries, strategy, presence, vendor
    
AstuteIT_ABM_EMEA
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
The relational database has been the foundation of enterprise data management for over thirty years. But the way we build and run applications today, coupled with unrelenting growth in new data sources and growing user loads are pushing relational databases beyond their limits. This can inhibit business agility, limit scalability and strain budgets, compelling more and more organizations to migrate to alternatives like MongoDB or NoSQL databases.
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rdbms, mongodb, migration, data, enterprise, management
    
AstuteIT_ABM_EMEA
Published By: CyberSource     Published Date: Sep 26, 2017
Did you know that hackers aren’t just interested in large enterprise businesses? Or that you can operate your business without raw payment data? Learn the truth about the five most common payment security myths today in this informative e-book.
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CyberSource
Published By: Gemini Data     Published Date: Jan 16, 2018
The Gemini enterprise platform is designed from the groud up to help you extract the most from your data ultimately delivering true situation awareness to your organization
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Gemini Data
Published By: Google Analytics 360 Suite     Published Date: Jan 05, 2018
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Google Analytics 360 Suite
Published By: Snowflake     Published Date: Jan 25, 2018
Compared with implementing and managing Hadoop (a traditional on-premises data warehouse) a data warehouse built for the cloud can deliver a multitude of unique benefits. The question is, can enterprises get the processing potential of Hadoop and the best of traditional data warehousing, and still benefit from related emerging technologies? Read this eBook to see how modern cloud data warehousing presents a dramatically simpler but more power approach than both Hadoop and traditional on-premises or “cloud-washed” data warehouse solutions.
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Snowflake
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