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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.
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 data storage 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

data storage density  Reducing Power Density | Data Storage | Data Security | Data Management | System Center Data | Center Data Protection Manager | Center Data Protection | Performance Center | Data Switch | Data Solutions | Computer Center | Data Server | Data Manager | Planning Center | Center Date | Data Mapping | Data Storage Density | Data Security Density | Data Management Density | System Center Data Density | Data Center Density Protection | Performance Center Density | Data Switch Density | Data Solutions Density |

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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 » data storage density

An Improved Architecture for High-efficiency, High-density Data Centers


Globally, data center power and cooling infrastructure wastes more than 60 million megawatt-hours per year that do not contribute usefully to powering IT equipment. This is an enormous financial burden on industry, and is a significant public policy environmental issue. Find out about the principles of a new data center architecture that can be implemented today to dramatically improve the electrical efficiency of your data center.

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Deploying High-density Zones in a Low-density Data Center


New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center. The independence of these high-density zones allows for reliable high-density equipment operation without a negative impact on existing power and cooling infrastructure—and with more electrical efficiency than conventional designs. Learn more now.

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Redefining Flash Storage


With its innovative Adaptive Flash platform, Nimble Storage has eliminated problems brought about by exponential data growth and increasing performance needed by business-critical applications by dynamically and intelligently deploying storage resources based on changing application needs. Download this white paper and learn how Nimble Storage: 1)Leverages the best characteristics of flash and disk to deliver enterprise-class performance and capacity density; 2) Seamlessly and independently scales performance and capacity to meet the demands of any size organization; 3) Delivers easy-to-manage, fully-integrated data protection; and 4)Leverages powerful data sciences to deliver true operational efficiency across all storage activities.

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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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Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

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Considerations for Owning versus Outsourcing Data Center Physical Infrastructure


When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these key factors to help make a sound decision.

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Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

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Top 10 Evaluation Criteria for Copy Data Management & Data Virtualization


Data virtualization is becoming more important, as industry-leading companies learn that it delivers accelerated IT projects at a reduced cost. With such a dynamic space, one must make sure that vendors will deliver on their promises. This white paper outlines 5 qualification questions to ask before and during the proof of concept (POC), and 5 things to test during the POC.

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Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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