data center

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Published By: cPacket Networks     Published Date: Oct 02, 2014
The modern applications delivery environment is distributed and dependent on data centers and network connectivity. Therefore, users are increasingly dependent on consistent network performance for day-to-day activities. Learn what pitfalls a business should avoid when implementing a network monitoring solution.
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cpacket, cpacket networks, data center, network intelligence, network performance, application delivery, cloud computing, cloud network, infrastructure
    
cPacket Networks
Published By: IBM Smarter Analytics     Published Date: Sep 04, 2013
Organizations that have virtualized their environments are discovering that the journey's not over. In many ways, it's just beginning. The full benefits of virtualization -- from cost savings and increased speed to resource transparency and control -- can only be fully realized by optimizing all of the interdependent components. In this webcast, IBM leaders discuss how organizations can get more from their virtualization investments with best practices gleaned from years of transforming traditional data centers and building world-class clouds.
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virtualization, best practices, optimizing, ibm webinar, traditional data, data management, knowledge management, enterprise applications
    
IBM Smarter Analytics
Published By: SolarWinds     Published Date: Aug 04, 2015
How-to easily manage storage performance, capacity, and cost.
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storage management, multi-vendor storage, data center, optimize storage, storage capacity, enterprise applications
    
SolarWinds
Published By: CDW     Published Date: Dec 29, 2014
Learn the best practices for migrating to a new server operating system and see how the switch may be challenging, but will allow your organization to vastly improve IT operations to support new technologies such as cloud computing.
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server, data center, transformation, scalability, performance, operating system, microsoft, cloud computing, software, security risks, compliance issues, security, it management
    
CDW
Published By: Dell Software     Published Date: Aug 15, 2013
Virtualization has changed data centers from static to flowing, and this fluidity has brought challenges to resource allocation. Find out how your organization can stay ahead of the curve. Read the White Paper >>
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dell, cpu, memory, storage, vsphere, data center, technology, dynamic, data management, business technology
    
Dell Software
Published By: Dell     Published Date: Aug 16, 2013
"Virtualization has changed the data center dynamic from static to fluid. While workloads used to be confined to the hardware on which they were installed, workloads today flow from host to host based on administrator-defined rules, as well as in reaction to changes in the host environment. The fluidic nature of the new data center has brought challenges to resource allocation; find out how your organization can stay ahead of the curve. Read the White Paper"
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best practices, cpu, memory, storage, vsphere, virtual, database security, virtualization, infrastructure
    
Dell
Published By: Evident.io     Published Date: Nov 23, 2015
AWS is the most widely deployed public cloud infrastructure as a service (IaaS) solution in the world and is a leader in Gartner's Magic Quadrant for IaaS (see "Magic Quadrant for Cloud Infrastructure as a Service"). AWS offers a large number of built-in security capabilities (see Note 1), and questions on the proper practices for securing workloads in AWS are increasing.1 AWS is a not a "consumer grade" IaaS cloud. It is a market leader, with a portfolio of security capabilities and security ecosystem partners unmatched by other IaaS providers. However, simply moving existing workloads to AWS without rethinking security tools, processes and system management will result in workloads that are less secure than they were when located within enterprise data centers. Conversely, a properly managed and secured workload in AWS will be at least as — and, in most cases, more — secure than in an enterprise data center.
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security, best practices, web services, amazon, workload, aws, data centers, enterprise, cloud, infrastructure, it management, enterprise applications
    
Evident.io
Published By: Raritan Inc.     Published Date: Mar 05, 2009
This White Paper examines these considerations in greater detail and defines best practices when evaluating and deploying a Smart Card Authentication solution.
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power distribution unit, raritan, pdu, power monitoring, environmental monitoring, data center power, data center monitoring, monitor power, power metering, data center temperature, electrical power meter
    
Raritan Inc.
Published By: MarkLogic     Published Date: Jun 09, 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
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: Jun 17, 2015
Modern enterprises face increasing pressure to deliver business value through technological innovation that leverages all available data. At the same time, those enterprises need to reduce expenses to stay competitive, deliver results faster to respond to market demands, use real-time analytics so users can make informed decisions, and develop new applications with enhanced developer productivity. All of these factors put big data at the top of the agenda. Unfortunately, the promise of big data has often failed to deliver. With the growing volumes of unstructured and multi-structured data flooding into our data centers, the relational databases that enterprises have relied on for the last 40-years are now too limiting and inflexible. New-generation NoSQL (“Not Only SQL”) databases have gained popularity because they are ideally suited to deal with the volume, velocity, and variety of data that businesses and governments handle today.
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data, data management, databse, marklogic, column store, wide column store, nosql
    
MarkLogic
Published By: Equinix     Published Date: Jul 31, 2012
This GigaOM Pro paper reviews the metrics and the technologies you should consider when migrating to the private cloud. Get your complimentary 10-page report now.
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public, cloud, private, technologies, technology, public, equinix, gigaom, pro, zynga, cdn, applications, software, network, limelight, iaas, paas, saas, data, center
    
Equinix
Published By: IBM     Published Date: Jul 07, 2015
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data.
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, data management, data center
    
IBM
Published By: IBM     Published Date: Oct 26, 2015
This is Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world.
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ibm, ibm watson, big data, data center, data analysis, analytical applications, business intelligence, data integration, data warehousing
    
IBM
Published By: IBM     Published Date: Apr 01, 2016
Read the eBook to: 1) Expand what you know about Big Data; 2) Learn about the Big Data Zones Model that brings a new approach to managing data, faster to deploy, faster to insights and with less risk; 3) Gain confidence in your Big Data projects and learn about the importance of governance in a Big Data world
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ibm, ibm connect, big data, big data zones model, data management, business technology
    
IBM
Published By: Avaya     Published Date: Dec 18, 2013
Your contact center is a hotbed of activity, constantly processing calls and emails, chats and social media posts, problems and solutions. As a result, it generates the kind of “big data” that other departments wish they had. But collecting that data is just the beginning. The next step is turning it into a plan of action.
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avaya, big data, contact center, social media, software development, it management, data center
    
Avaya
Published By: IBM     Published Date: Jul 14, 2015
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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big data, data warehouse, data center, information governance, analytics, big data analytics, business management, data management
    
IBM
Published By: Adaptive Computing     Published Date: Feb 06, 2014
A new approach, known as “Big Workflow,” is being created by Adaptive Computing to address the needs of these applications. It is designed to unify public clouds, private clouds, Map Reduce-type clusters, and technical computing clusters. Download now to learn more.
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adaptive, ada[tive computing, big data, data center, workload management, servers, cloud, cloud computing, storage, data storage, data warehousing, business technology
    
Adaptive Computing
Published By: HP     Published Date: Mar 15, 2013
Blade servers bring efficiency and agility to IT infrastructures by making it easy to add and move resources and applications. Read this white paper to learn how HP has engineered its blade solutions to deliver the greatest long-term value.
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blade servers, optimizing data center, discover, efficiency, agility, it infrastructure, resources, applications, it management, data management, business technology, data center
    
HP
Published By: Sponsored by HP     Published Date: Feb 26, 2013
Modern blade solutions are the heart of flexible, cost-effective infrastructures.
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blade servers, virtualization, network, storage, datacenter, cost of ownership, roi, cloud computing, infrastructure, design and facilities, infrastructure management
    
Sponsored by HP
Published By: HP     Published Date: Sep 06, 2011
Download this white paper to find out why CIOs and IT managers are discovering blade servers to be the ultimate solution for workload consolidation.
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energy costs, blades, data center design, blade servers, cloud computing, design and facilities
    
HP
Published By: HP Data Center     Published Date: Apr 08, 2009
Unified Communications (UC) aims to unite securely and seamlessly all the different business communications channels that exist in a company. That includes voice, video, data, IM, mobility and the Web etc. This report examines in detail the key industry drivers and benefits that are inspiring large scale enterprises to adopt a Unified Communications strategy.
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business communications, voice, video, data, mobility, industry drivers, unified communications strategy, just in time, jit, cross-functional, hp data center, cisco, crm, workflow, workforce management, total cost of ownership, tco, voice response (ivr), automatic call distributor (acd), disaster recovery
    
HP Data Center
Published By: Delphix     Published Date: May 03, 2016
High-profile data breaches continue to make headlines as organizations struggle to manage information security in the face of rapidly changing applications, data centers, and the cloud. Against this backdrop, data masking has emerged as one of the most effective ways to protect sensitive test data from insider and outsider threats alike. While masking is now the de facto standard for protecting non-production data, implementing it alongside virtual data technologies has elevated its effectiveness even further.
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Delphix
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