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data support

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Published By: Microsoft Corporation     Published Date: Oct 19, 2010
Get a close look at Microsoft security measures for ensuring data protection and integrity, and learn how you can rest assured about the security and reliability of Microsoft Online Services with 24x7 IT professional support and a financially backed service level agreement (SLA) for 99.9 percent uptime.
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microsoft online services, security measure, data protection, business productivity, collaboration, it administration
    
Microsoft Corporation
Published By: Sponsored by HP and Intel® Xeon® processors     Published Date: Aug 16, 2012
This report defines "tier-1" storage in the modern IT world and in the data centers and services that support it.
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Sponsored by HP and Intel® Xeon® processors
Published By: HP     Published Date: Jul 22, 2014
HP 3PAR StoreServ Storage arrays are rapidly being adopted into many IT data centers. With the adoption of the array comes the need to support a non-disruptive method (supported by OS) to import data from aging architectures to new HP 3PAR StoreServ arrays. There is an increasing demand to support the migration from non-HP standard storage arrays to HP 3PAR StoreServ arrays as part of the migrations. In the past, HP has supported migrations from HP 3PAR to HP 3PAR using HP 3PAR Peer Motion technology and EVA to HP 3PAR using HP 3PAR Online Import as part of the federated storage movement. HP is now announcing the ability to migrate data from EMC arrays to HP 3PAR StoreServ Storage.
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3par, online, storage, data, array, storeserv
    
HP
Published By: Eaton     Published Date: Jan 26, 2016
This white paper explains why many data centers are ill-equipped to support today’s most important new technologies; discusses why packaged power and cooling solutions can be a flawed way to upgrade existing facilities; and describes the core components of a data center upgrade strategy capable of enhancing efficiency and power density more completely and cost-effectively.
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eaton, modern data centers, data center solutions, virtualization, big data, converged infrastructures, it management, enterprise applications
    
Eaton
Published By: Group M_IBM Q2'19     Published Date: Jun 10, 2019
In the era of individual-centered economy, customers are demanding faster, more personalized services. To deliver these services, successful organizations realize the benefits of accurate and trusted master data. And in today's always on society, companies can no longer afford to allow downtime for maintenance and scheduled upgrades for these services and the supporting applications. With low latency capabilities in IBM InfoSphere Master Data Management designed to easily connect to applications in a zero-downtime environment, the highest demands for user interactions can now be realized. As a result, businesses can therefore take the next step in their digital transformation initiatives to truly drive personalized differentiated customer experiences to separate themselves in today's crowded marketplace. View this webinar to discover how IBM MDM puts these capabilities within easy reach. The webinar will: Reveal how these capabilities are being delivered on-premise and on t
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Group M_IBM Q2'19
Published By: Tripwire     Published Date: Jun 30, 2009
Since the adoption of SOX, much has been learned about IT compliance. Discover how to make SOX efforts more effective in "Sustaining Sox Compliance."
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tripwire, sustain, sox, compliance, practice, risk, control, data, security, system, administration, institution, automated, reduce, cost, effective, sustainability, governance, business, change
    
Tripwire
Published By: IBM     Published Date: Oct 10, 2013
We all know how major security incidents can affect a company’s data, networks and corporate brand. We also know that sophisticated attacks, designed to gain continuous access to critical information or to cause damage in critical infrastructure, are becoming more severe, more frequent and more costly. But what can you do about it? The IBM white paper “Responding to—and recovering from—sophisticated security attacks” details four proactive steps that you can—and should—take now to help keep your organization safe: prioritize your business objectives and set your risk tolerance; protect your organization with a proactive security plan; prepare your response to the inevitable sophisticated attack and promote and support a culture of security awareness. Read the white paper to learn how to help keep your organization safe from sophisticated security attacks and find out how IBM can help.
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security, data security, networks, branding, attacks, security, security breach, safeguarding, infastructure, risk, risk tolerance, security attacks, it management
    
IBM
Published By: IBM     Published Date: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
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ibm, data retention, information governance, archiving, historical data, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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mdm, big data, master data, data solutions
    
IBM
Published By: IBM     Published Date: Jan 09, 2015
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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big data, mdm, client analytics, real-time analysis, it management
    
IBM
Published By: IBM     Published Date: Jan 13, 2016
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
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ibm, data integration, infosphere, information server, partition, data profiling, data center
    
IBM
Published By: IBM     Published Date: Feb 29, 2016
This is the data sheet for Integrated Multivendor Support.
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ibm, integrated support, multivendor, storage, networking, hardware, support, roi
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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ibm, mdm, big data, ibm infosphere
    
IBM
Published By: IBM     Published Date: Jun 28, 2016
Businesses all over the world run on applications and data. Your business does as well. The success of your business relies on the performance of your applications because they deliver the services to your customers that keep you in business. Your IT infrastructure supports and carries these applications—the lifeblood of your company. How to keep things up and running, connected, responsive and relevant is enough to keep most app owners up at night.
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business, technology, infrastructure, best practices, applications, productivity
    
IBM
Published By: IBM     Published Date: Nov 07, 2016
Is your software defined infrastructure (SDI) for high performance computing (HPC) and big data analytics meeting the needs of your growing business? Would you like to know how to justify the switching cost from unsupported open source software to a commercial grade SDI that ensures your resources are more effectively used cutting down time to market? This webcast will give you an overview of the true costs of building out and managing a HPC or Big Data environment and how commercial grade SDI software from IBM can provide a significant return on investment.
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ibm, platform computing, software defined infrastructure, enterprise applications
    
IBM
Published By: Group M_IBM Q418     Published Date: Oct 02, 2018
Organizations are faced with providing secure authentication, authorization, and Single Sign On (SSO) access to thousands of users accessing hundreds of disparate applications. Ensuring that each user has only the necessary and authorized permissions, managing the user’s identity throughout its life cycle, and maintaining regulatory compliance and auditing further adds to the complexity. These daunting challenges are solved by Identity and Access Management (IAM) software. Traditional IAM supports on-premises applications, but its ability to support Software-as-a-Service (SaaS)-based applications, mobile computing, and new technologies such as Big Data, analytics, and the Internet of Things (IoT) is limited. Supporting on-premises IAM is expensive, complex, and time-consuming, and frequently incurs security gaps. Identity as a Service (IDaaS) is an SaaS-based IAM solution deployed from the cloud. By providing seamless SSO integration to legacy on-premises applications and modern cloud-
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Group M_IBM Q418
Published By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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Cisco
Published By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
    
IBM
Published By: IBM     Published Date: May 01, 2017
If you function like most IT organizations, you've spent the past few years relying on mobile device management (MDM), enterprise mobility management (EMM) and client management tools to get the most out of your enterprise endpoints while limiting the onset of threats you may encounter. In peeling back the onion, you'll find little difference between these conventional tools and strategies in comparison to those that Chief Information Officers (CIOs) and Chief Information Security Officers (CISOs) have employed since the dawn of the modern computing era. Their use has simply become more: Time consuming, with IT trudging through mountains of endpoint data; Inefficient, with limited resources and limitless issues to sort through for opportunities and threats; and Costly, with point solution investments required to address gaps in OS support across available tools. Download this whitepaper to learn how to take advantage of the insights afforded by big data and analytics thereby usher i
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ibm, endpoint management, mobile device management, enterprise mobility, os support, it organizations
    
IBM
Published By: IBM     Published Date: Jun 21, 2017
Today, it’s unlikely that a single database will meet all your needs. For a variety of reasons—including the need to support cloud-scale solutions and increasingly dynamic app ecosystems—startups and enterprises alike are embracing a wide variety of open source databases. These varied databases—including MongoDB, Redis and PostgreSQL— open doors to building sophisticated and scalable applications on battle-hardened, non-proprietary databases.
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ibm, data base, cloud, scalability, app ecosystem
    
IBM
Published By: IBM     Published Date: Oct 03, 2017
Many 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. To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.
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data aggregation, risk reporting, bank regulation, enterprise, reapportion budgets
    
IBM
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
Growth in data-driven business strategies give IT leaders both opportunity and challenges in building a roadmap for success. Download the white paper to learn more about critical considerations as IT leaders align and support changing business strategy with the right IT infrastructure roadmap.
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Oracle PaaS/IaaS/Hardware
Published By: InMage     Published Date: Feb 18, 2009
Business-critical data and applications must be available around the clock or serious business disruption could result.
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inmage, practical business protection, dr-scout, continuous data protection, cdp, encryption support, host-agents, control servers, servers
    
InMage
Published By: Eaton Corp.     Published Date: Jun 01, 2009
Virtualization can deliver dramatic benefits for data centers, but it can also stress the underlying support infrastructure.  Power and cooling systems—which may have been quite sufficient for pre-virtualization needs—could easily become inadequate when data center performance patterns are radically altered.  This paper describes some of power challenges related to virtualization—and the readily available technologies to address them.
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virtualization, data center, infrastructure management, power, cooling, monitoring., networking, infrastructure, network performance management, server hardware, servers, test and measurement, green computing, power and cooling, data center design and management
    
Eaton Corp.
Published By: SAS     Published Date: Aug 28, 2018
With the amount of information in the digital universe doubling every two years, big data governance issues will continue to inflate. This backdrop calls for organizations to ramp up efforts to establish a broad data governance program that formulates, monitors and enforces policies related to big data. Find out how a comprehensive platform from SAS supports multiple facets of big data governance, management and analytics in this white paper by Sunil Soares of Information Asset.
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SAS
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