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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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 cheap data storage


Buyer's Guide to Enterprise Storage Resources
Organizations of all sizes face similar challenges when managing storage@not enough capacity or protection. Help has arrived with Internet small computer system

cheap data storage  enterprise products don't come cheap. The Sun product costs $37,000, plus a $5,000 charge to turn on the encryption feature. The IBM product is $35,000. Encryption appliances like those from Decru Inc. (now owned by Network Appliance Inc.), NeoScale Systems Inc. and Vormetric Inc., as well as upcoming LTO-4 drives will be less expensive than tape-encryption drives from IBM and Sun; however, IBM's and Sun's products appeal to enterprises that run large mainframe data centers. These data centers want an

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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 » cheap data storage

Inflation’s Demise: The Impact on Business Informa


Enterprise Resources Planning (ERP) business models and information systems originated in the 1970s and 1980s, an inflationary period. They addressed business priorities that were strongly influenced by inflation. Many manufacturers are now confronting worldwide price stability, or even deflationary pressure, and can

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Increase IT Performance from the Enterprise to the Cloud with WAN Optimization


Massive consolidation and data mobility, enabled by virtualization, have radically altered how companies build servers, design applications, and deploy storage for the emerging cloud decade, when IT performance will be constrained more than ever by network performance. This report takes a look at cloud computing architectures that deliver the rich WAN optimization solutions required to eliminate network constraints.

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Voting Technology: An Evaluation of Requirements and Solutions


The issues created by the use of punch card ballots, an obsolete technology, during the recent US Presidential election are similar to the ones that businesses confront every day when dealing with technological change. It is therefore instructive to examine voting technology issues in the way that most businesses would approach an important information technology decision.

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External Drive Backup Warning


Backing up critical data on an external drive provides only minimal protection against one type of data loss: hard drive failure and nothing else. External drives are easily damaged, lost, or stolen. Portable drive backups are rarely taken off-site and are insecure, time-consuming, and limited. And when an external drive holding key data no longer works, what will you do? There’s a better way to back up data. Learn more.

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Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

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Don't Be Overwhelmed by Big Data


Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Big Data can be a Big Deal - read this white paper for some useful tips on ensuring secure, quality data acquisition and management.

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Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

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Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

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