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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 backup and recovery


Augmenting Data Backup and Recovery with System-level Protection
File-level recovery on its own is an incomplete strategy when it comes to meeting stringent recovery time objectives (RTOs) for complete system recovery. This

data backup and recovery  Data Backup and Recovery with System-level Protection File-level recovery on its own is an incomplete strategy when it comes to meeting stringent recovery time objectives (RTOs) for complete system recovery. This paper investigates what’s at risk, where system-level recovery fits relative to current data protection approaches, the impact of system-level recovery on your IT department’s ability to meet RTOs, and the potential of system-level recovery to reduce costs.

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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 backup and recovery

Midmarket/Enterprise Backup and Recovery Buyer's Guide


Selecting the right backup and recovery solution can be complicated. Pricing and feature sets are "all over the map," making evaluations and comparisons difficult. Download this document for guidance that will lead you to the best shortlist of candidate solutions for your business, based on requirements including budget, backup and recovery time frames, platform support, key applications, and service level agreement (SLA) terms.

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Centralized Data Backup: It Doesn’t Have to Cripple Your WAN


The need to be close to customers, manufacturing facilities, and specialized labor requires organizations to extend the concept of headquarters to many locations. But managing a global workforce means dealing with data sprawl, and having data recovery and security plans for every part of the organization. Learn how wide-area network (WAN) technology can help you develop a scalable and secure data protection model.

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Riverbed and EMC Deliver Capacity-Optimized Cloud Storage for Backup, Recovery, Archiving and DR


Many innovative enterprises are turning to cloud storage to meet their data protection demands. This paper by Taneja Group explores the factors that are driving the move to cloud storage and then introduces a solution from Riverbed and EMC that enables organizations to perform cloud backup and replication at LAN-like performance that is as reliable and secure as local disk or tape at a lower cost. See how this solution can help you.

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The Agentless Backup/Recovery Architecture: How It Works to Reduce Costs, Bolster Security, and Simplify Scaling in Remote Office Environments


IT managers today face plenty of problems when it comes to protecting remote office data—problems that agentless architecture could eliminate. Many organizations outsource their data protection, which can be costly. But an agentless architecture disk-to-disk (D2D) software solution can offer your business bottom-line benefits that range from lower administrative costs to pay-as-you-grow scalability and increased security.

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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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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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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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10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

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Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations


While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of "big data" and the use of analytics to mine that data.

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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