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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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 windows unified data storage server


Intel Server Trends
The Intel-based server market is one of the most hotly contested segments in the industry. What are the key trends in this market, and what will they mean to

windows unified data storage server  OSes. The rise of Windows NT added a fourth leg to this market. As NT gained market share, as well as dominating the business desktop, people started seeking an alternative. The Unix market per se was too fragmented to provide a unified defense against the encroachment of NT. It appeared that NT would overcome the server OS space much as Windows had demolished other desktop OSes. In the early 1990s, a then unknown Finnish student named Linus Torvalds created a free version of Unix, dubbed it Linux,

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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 » windows unified data storage server

Microsoft’s Underlying Platform Parts for Enterprise Applications: Somewhat Explained - Part 4


Part 3 of this blog series analyzed the ever-evolving user interface (UI) and visualization technologies, and related approaches of Microsoft and other independent software vendors (ISVs). Lawson Smart Office and IFS’ Project Aurora (including the first Project's delivery, IFS Enterprise Explorer [IEE]) were described. Shedding Some "Northern Star" Light on IEE For IEE IFS uses Microsoft

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Lucent's Octel for Microsoft Exchange


Lucent's Octel unified messenger uses a text-to-speech conversion engine for transmitting e-mails over a standard telephone line.

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Leverage Competitive Advantages in Storage Management


Of the many challenges businesses face today, managing data growth is one of the most daunting. But while there are myriad choices for storage management solutions, most legacy options cannot address changing business requirements, and the results can cost your organization money, time, and peace of mind. Discover solutions that allow you to optimize your service environment and successfully meet your business challenges.

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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 interface storage area networks (iSCSI SANs)—and they're steadily gaining momentum. With iSCSI SANs, businesses can effectively manage their storage needs, while lowering costs and increasing security. Find out why many industry leaders are choosing iSCSI today.

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Agile Data Masking: Toward a More Secure and Agile Enterprise


Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.

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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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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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Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

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SAS BI Server


SAS Enterprise BI Server is a comprehensive, easy-to-use business intelligence software solution that integrates the power of SAS Analytics and SAS Data Management to provide insights that power better decisions. It includes role-based, self-service interfaces for all types of users within a well-defined IT governance framework and a centralized point of administration. This helps organizations simplify and speed business intelligence deployment.

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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