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Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

data capacity requirements  power load of the data center is not changed. If the location of servers and storage racks is random and unknown in advance, then the power and cooling distribution systems must be sized to deliver maximum density at any location. However, if a lower density zone for storage systems is defined in advance, the power and cooling distribution systems can be reduced in capacity for that zone. The advantage would be reduced capital and operating expense, along with improved electrical efficiency. Density Read More
Product Lifecycle Management (PLM)
This comprehensive product lifecycle management (PLM) knowledge base models modern product and design-related aspects of PLM for both discrete and process industries. It details product development...
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Documents related to » data capacity requirements


Product Life Cycle Management (PLM) in ProcessPart 3: Process PLM Requirements
A Process PLM system must accommodate rapid, global deployment of the system. This need drives specific requirements to minimize both the start-up and the long

data capacity requirements  product. Some of the data stored in the repository is common with the needs of discrete PLM systems but much is unique to the process industry. Common data includes project information such as workflow, basic project management information, approval information, and high-level product concepts. The data unique to the process industry includes product information such as formula (ingredients only) and recipe (formula plus processing procedures), packaging specifications, processing steps, test procedures, Read More
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

data capacity requirements  them to a central data processing facility. No matter what precautions are taken, security and control lapses are inevitable and invite many opportunities for tampering or unintentional error. Ballots or boxes could be mislaid, damaged or sent to the wrong location at any stage of the process. Although LED technology is electronic, card-feeding mechanisms are not. Keypunch cards frequently jam when they are fed into the reader, even with minimal human handling. Because punch card ballots receive much Read More
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

data capacity requirements  situations where the existing data center UPS is at capacity or is being phased out due to end-of-life or when targeted power availability is required for a specific zone. The system in Figure 4 integrates a cluster of high-density IT racks with a high-density row-based cooling system and high-density UPS and power distribution system in a pre-manufactured, pre-tested zone. Row-based cooling architecture A row-based cooling architecture makes it possible to have a room-neutral high-density zone. Read More
Creating a Winning Data Transmission Service
Today’s data transmission departments are battling for budget and relevance. Moving files and ensuring delivery is getting tougher every day. To successfully

data capacity requirements  a Winning Data Transmission Service Creating a Winning Data Transmission Service If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Sterling Commerce is a software company that helps our customers optimize and transform their Business Collaboration Network inside and outside the enterprise quickly, easily, and securely so they can accelerate revenues and reduce costs. Source : Sterling Commerce Resources Related to Data Read More
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

data capacity requirements  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. Read More
How to Use Data Management Successfully
Find out in the white paper master data management: extracting value from your most important intangible asset.

data capacity requirements  to Use Data Management Successfully Did you know that effective master data management (MDM) is a critical component in an efficient, successful business? With the amount of data in a typical organization escalating dramatically, data management has become your most important intangible asset . If you aren't managing your master data effectively, you could be opening the door to a host of problems: Part of your company is doing business with a client or account, but other parts of the company aren't Read More
ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud
Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed

data capacity requirements  - Riverbed Whitewater: Optimizing Data Protection to the Cloud Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed to integrate seamlessly with existing backup technologies and cloud storage provider APIs. Read this ESG Lab report on hands-on testing of the Riverbed Whitewater appliance for ease of use, cost-effective recoverability, data assurance, and performance and scalability. Read More
Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a

data capacity requirements  says OLE for Data Mining: Is it Bull? Event Summary REDMOND, Wash., March 7 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) announced the beta release of the OLE DB for Data Mining specification, a protocol based on the SQL language, that provides software vendors and application developers with an open interface to more efficiently integrate data mining tools and capabilities into line-of-business and e-commerce applications. A dozen leading data mining and business intelligence vendors Read More
The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business

data capacity requirements  Path to Healthy Data Governance through Data Security The appropriate handling of an organization’s data is critically dependent on a number of factors, including data quality, which I covered in one of my earlier posts this year. Another important aspect of data governance regards the managing of data from a security perspective. Now more than ever, securing information is crucial for any organization. This article is devoted to providing insight and outlining the steps that will put you on the path Read More
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

data capacity requirements  to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More
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

data capacity requirements  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. Read More
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

data capacity requirements  Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More

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