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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

data center guide idc  , Storage Sector , Data Storage Resource Guide , Guide for Storage Resource Manager , Distributed Energy Resources Guide , Evidence Storage , Handling Resource Guide , Guide to Storage Resource Management , Data Storage For The Enterprise , Storage Resource Management Technologies , Step-by-Step Guide for Storage Resource . Organizations of all sizes are faced with the same challenges when it comes to managing their storage ' not enough capacity, a need for more ei cient protection, and many others. Read More...
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 type...
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Documents related to » data center guide idc


Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches

data center guide idc  Data Storage Architecture | Data Storage Center | Data Storage Companies | Data Storage Company | Data Storage Management | Data Storage Product | Data Storage Service | Data Storage Services | Data Storage Software | Data Storage Solution | Data Storage Solutions | Data Storage System | Data Storage Systems | Data Storage Tape | Data Technology Solutions | Data Warehouse | Data Warehouse Architecture Diagram | Data Warehouse Architectures | Data Warehouse Technical Architecture | Data Warehousing Read More...
On-demand ERP in the Enterprise: A Practical CIO Guide to Implementation
Discover a framework for crafting a software-as-a-service (SaaS) strategy in your company. Examine key concerns such as data integrity, maintaining compliance

data center guide idc  Define minimum standards for data center security, encryption of data transmission, authorization and access controls, provisioning and de-provisioning processes, data privacy and how data should be stored. Define expectations for application availability and performance, customer service and helpdesk access and response times, and visibility into upgrade schedules, performance metrics, incident handling and root cause analysis. Compliance processes. As CIO, you remain accountable for governance of any Read More...
Who Benefits from Outsourcing?
While simple on the surface, the decision to outsource is a major strategic undertaking. Besides weighing cost reduction against the consequences of reduced

data center guide idc  Services | Benefits Outsourcing Data | Benefits Infrastructure Outsourcing | IT Benefit Administration Outsourcing | IT Benefit HR Outsourcing | IT Benefit Outsource | IT Benefit Outsourcing | IT Benefit Outsourcing Companies | IT Benefit Outsourcing Solutions | IT Benefits Offshore Outsourcing | IT Benefits Outsource | IT Benefits Outsource Inc | IT Benefits Outsourcing | IT Benefits Outsourcing Companies | IT Benefits Outsourcing Solutions | IT Business Processes Outsourcing | IT Cost Benefit Read More...
Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

data center guide idc  Data Management Goal | Data Center Management Best Practices | Business Intelligence Data | Managing Information Report | Managing Information White Paper | Data Mangement Benefits | Feeding Databases | Ensuring Data Security | Proliferation of Data | Data Deluge | Data Everywhere | New Ways of Visualising Data | Data Streams | Flow of Data | Cross-system Data | Crunch Data | Exploiting Data | Basket Data | Data Mining | Seismic Data | Database | Social-Security Data | Industrial Revolution of Data | Read More...
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

data center guide idc  Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and Read More...
Insider's Guide to Network Automation
In The Insider's Guide to Network Automation, you'll learn about the keys to successful network automation, including.

data center guide idc  insider guide network automation,insider,guide,network,automation,guide network automation,insider network automation,insider guide automation,insider guide network. Read More...
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

data center guide idc  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

data center guide idc  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frustration Read More...
CRM Buyer's Guide
If you're interested in a CRM solution, here's a guide to help you zero in on the best one for your company's needs.

data center guide idc  crm buyer guide,crm,buyer,guide,buyer guide,crm guide,crm buyer. Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

data center guide idc  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

data center guide idc  the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained. Read More...
Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

data center guide idc  Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. Read More...
A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources,

data center guide idc  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

data center guide idc  Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...

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