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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

high level data  exposing high-density equipment to high temperatures ' only when optional front containment is used When sound attenuation is required ' only when optional front containment is used Trade-offs Front and rear containment panels increase capital cost In a single rack configuration, cost increases substantially when cooling redundancy is required Why NOT use containment? It may appear that containment would be the clear choice for any row-based cooling scenario. However, this is not always the case. With Read More...
PPM for Professional Services Automation
A business practice that assists organizations to align their portfolio of projects with their business strategy. Professional services automation (PSA) refers to a system designed to streamline an...
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Documents related to » high level data


Captured by Data
The benefits case for enterprise asset management (EAM) has been used to justify huge sums in EAM investment. But to understand this reasoning, it is necessary

high level data  deliver results within a high level of confidence is questionable at best. This fundamental fact of managing physical assets highlights two flaws with the case of capturing data for designing maintenance programs. First, collecting failure information for future decisions means managing the asset base in a way that runs counter to basic aims of modern maintenance management. Second, even if a company was to progress down this path, the nature of critical failures is such that they would not lend Read More...
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

high level data  for a worst case high density value and primary feed wiring and piping should be installed up-front to support this density; however the actual selection of power and cooling equipment for rows should be deferred until the deployment density and plan are defined. In this way the primary cost drivers of the power and cooling infrastructure are rightsized to the actual application, and deployed where and when needed. This greatly reduces capital costs, operating costs, and results in a much more energy Read More...
The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

high level data  and embedded algorithms for high performance and scalability. In addition to a wide range of mining algorithms, SPSS offers Web mining and text analytics as add-on products. Angoss Software offers an on-demand customer analytics solution focused on addressing sales and marketing strategies. Its KnowledgeSEEKER provides visualization for data exploration; and the KnowledgeSTUDIO represents the tool for modeling, with access to a variety of algorithms including decision trees, regression, and clustering. Read More...
The Data Explosion
RFID and wireless usage will drive up data transactions by ten fold over the next few years. It is likely that a significant readdressing of the infrastructure

high level data  technology implementations in the high technology, semiconductor, automotive, textile, and apparel industries. ChainLink Research is a bold new supply chain research organization dedicated to helping executives improve business performance and competitiveness. Read More...
2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download

high level data  data protection,data backup,2012 data statistics,data loss,business data backup Read More...
Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards

high level data  experienced an unexpected, extremely high cost to consolidate or synchronize product data DIRTY JOBS REQUIRE HEAVY DUTY EQUIPMENT Today’s business environment has created a heightened awareness of the consequences and lost opportunities due to bad data. Companies have determined that “heavy-duty equipment” is required to approach the job of “continually” cleaning data. Data cleansing has moved into the realm of a strategic initiative rather than a onetime quick fix project. With both the volume Read More...
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...

high level data  10 errors avoid building data center,errors,avoid,building,data,center,errors avoid building data center,10 avoid building data center,10 errors building data center,10 errors avoid data center. Read More...
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

high level data  data storage in the cloud,cloud data storage,online data storage,offsite data storage,data storage cloud,data storage solution,data storage business,data storage,data storage internet,data storage service,best cloud storage,online data storage backup,microsoft cloud storage,cloud services,cloud storage providers Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

high level data  data quality solution,enterprise information management,enterprise information management strategy,enterprise information management definition,enterprise information management framework,enterprise information management software,data quality maturity,data quality software,open source data quality software,data quality,data quality tools,customer data quality,data quality metrics,data quality management,data quality objectives Read More...
Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online

high level data  data warehouse model,data warehouse software,enterprise data warehouse,olap database,olap tools,data warehouse concepts,data warehouse schema,data warehouse system,data warehouse tools,data warehouse training,olap data warehouse,building a data warehouse,building the data warehouse,business intelligence olap,data warehouse data mart Read More...
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

high level data  be appropriate for a highly Microsoft-centric company, but the alliance membership may not include the vendor a customer wishes to use for business intelligence, decision support, or executive information systems. Customers with non-SQL Server operational data will have to depend on SQL 7.0's Data Transformation Services (DTS) to move the data into SQL Server, and that particular technology is brand new and largely untested. Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

high level data  reports show that a high percentage of organizations feel they have a data quality problem, while at the same time indicating that an equally large number of organizations are also doing little about it. The problem is that data quality is a vague term that means different things to different people. Before data quality problems can be discussed in detail, data quality must be defined more precisely. What Is Data Quality? A useful definition of quality can be found in the ISO 8402 specification, which Read More...
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

high level data  DCIM, data center, data center infrastructure management, DCIM management, IT, IT infrastructure, APC by Schneider Electric, facility operations and maintenance, data center facility operations, data center PUE, PUE, prefabricated modular data center, data center systems Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

high level data  data management analysis software selection,data analysis management solution evaluation,compare most accurate data tools, statistics application selection,statistical methods,improve data management and analysis,rfp to manage data,ecm software evaluation,information security is,compare information security systems,document management systems,dms,dms selection,is solution comparisons,product information management solution selection,pim,enterprise content management ecm,electronic media files,pim solution selection,compare top access control files software,security,evaluate data delivering systems,business analysis reports,dmag,analyse statistics,methodology,evaluate information security systems. Read More...

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