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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 center virtualization cms


ECM vs. EIM
The IT industry is constructed of three-letter acronyms (TLAs). However, the total number of possible three-letter abbreviations using the 26 letters of the

data center virtualization cms  focus on managing unstructured data (e.g., natural language text, images, videos, documents). In addition, there are also systems covering both—for example, product lifecycle management (PLM) systems. You can find out more about ECM by visiting TEC’s Content Management System (CMS) Evaluation Center . And, What Is Enterprise Information Management? Compared with ECM, EIM is more difficult to define, due to a lack of consensus in the industry. Wikipedia defines EIM as “a field of interest… in

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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 center virtualization cms

Virtualization and Disk Performance


The recent explosion of virtualization as a technology coincides with the trend of consolidating systems on to less, but more powerful, hardware. With more robust hardware, consolidation makes cost-effective sense. And given the reduced management overhead and more efficient hardware use, virtualization makes a great deal of sense indeed. However, it’s also important to be aware of its dangers.

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A Road Map to Data Migration Success


Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

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Virtualization: Addressing Performance and Availability questions


In How to Address the Two Key Challenges with Virtualization, you'll learn about the issues of application performance and information availability...

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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

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Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

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Unified Data Management: A Collaboration of Data Disciplines and Business Strategies


In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts.

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Selecting a CMS Based on Ease of Use


Businesses have a wide range of offerings to choose from when it comes to content management systems (CMSs). Among the many CMS selection criteria, ease of use is the most important. The easier a system is to use, the more adoption it will gain within the organization—especially when content management is becoming recognized as a marketing platform instead of being driven solely by IT. Find out more.

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Preparing the Data Center for a Move to Virtualization


This primer is designed to provide business decision makers and other potential buyers with basic knowledge about the exploding market of the virtualization industry—its evolution and the current landscape, along with a glossary of terms. It also includes a checklist of signs that your data center needs virtualization.

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The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

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Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

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