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Software Functionality Revealed in Detail
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 average data center power density


Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

average data center power density  the cooling distribution architecture Average data center power density kW / rack The summary density attribute for the data center To allow conversion to other common metrics such as W / ft2 or W / m2. Such a conversion is subject to selection of definition from Table 1 The most complex problem in defining density using this method is the determination of the rack locations that are required for power and cooling infrastructure and are therefore unavailable for IT equipment. A value of 1 rack location

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » average data center power density

Using Keyboard, Video, and Mouse over IP to Connect Remote Networks


Today’s IT professionals are often challenged by unrelenting changes in the enterprise, increased data growth and compliance regulations, and geographic distribution of assets, to name a few. Keyboard/video/mouse (KVM) over Internet protocol (IP) can help by providing an effective tool that can remotely manage servers—regardless of their physical location. When looking for a KVM over IP solution, you should consider some basic requirements first.

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Cooling Strategies for Ultra-high Density Racks and Blade Servers


The average power consumed by an enclosure in a data center is about 1.7 kilowatts (kWs), but the maximum power that can be obtained by filling a rack with available high density servers, such as blade servers, is over 20 kW. Find out about the power density values of current and new data centers, and learn practical approaches to creating strategies for deploying high-density computing, with limitations and benefits.

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The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers


The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to changing requirements, support high and variable power density, and reduce power consumption and other operating costs. Find out how row- and rack-oriented cooling architectures reduce total cost of ownership (TCO), and address the needs of next-generations data centers.

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Strategies for Deploying Blade Servers in Existing Data Centers


Blade servers have a major advantage over traditional ones—improving processing ability while using less power per server. But, with their smaller footprint, blades can be much more densely packed, resulting in racks that use up to 20 times the electrical power and generate up to 20 times the heat. This can stress power and cooling system capability. Learn how to create a power and cooling strategy with these guidelines.

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The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

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The Power of Knowledge -- Knowledge is Power (Part 3)


Part 1 of this blog series introduced the need for knowledge management (KM) software applications as part of a more comprehensive and strategic service management (SSM) suite. One such broad SSM suite has been advanced by Servigistics, and Part 2 zoomed into the capabilities of one particular part of the Servigistics SSM suite: Service Knowledge Management (SKM). Potential SKM Benefits

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Data Storage in the Cloud--Can You Afford Not To?


In Data Storage in the Cloud Can You Afford Not To?

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Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

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Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond


For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data.

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