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 TitleDate AddedCompany
whitepaper Data Centers Are Adopting Green Initiatives But Are Wary of Vendors' Marketing Messages2008-03-11 Aperture Technologies
  The IT industry and business in general are slowly waking up to the impact they are having on the environment. While the newspaper headlines target the growth of cheap flights as a leading cause of global warming, some commentators have suggested the IT industry is responsible for more carbon emissions than aviation. Organizations have to be seen to be environmentally aware, but how much of it is PR bluster, and how much of it is backed up by action? This survey shows that although 70% of organizations are adopting a green initiative, 19% admit the data center has been overlooked and 13% don't know how the data center is affected by the policy.

Tags: Green IT		   
whitepaper Small Improvements Causing Substantial Savings - Forecasting Intermittent Demand Data Using SAS Forecast Server2008-03-10 SAS Institute
  Businesses require accurate forecasts of time series data that is not continuous. Often, time series data is intermittent (discontinuous or interrupted). Intermittent time series data points are mostly zero (the base value), with occasional departures from the base value. Intermittent time series are common in business and economic data. For example, at progressively lower levels of data disaggregation (larger frequency, smaller geography, or both), the time series data is often intermittent. The most commonly used forecasting techniques are continuous time series methods such as Exponential Smoothing Methods (ESM). Continuous methods are meant to forecast the future values with respect to future time periods.

Tags: Data Mining - Analysis		   
whitepaper Managing Large Data With SAS SPD Server2008-03-10 SAS Institute
  This paper provides the concepts behind demonstrations of how one can enhance query performance when one uses the SAS SPD Server to manage large data tables. This paper does not cover the main concepts for Dynamic Clusters or Parallel Join. This paper focuses on managing data within standard SAS Scalable Performance Data Server (SPD Server) tables, and therefore Dynamic Cluster tables, to enhance data querying. There are three common types of queries for which data within a table can be optimized: ordered processing, subsetting, and a hybrid of ordered processing and subsetting.

Tags: Application Servers, Parallel Processing		   
whitepaper Directory Deployment Planning Checklist2008-03-05 Isode
  When planning a directory deployment, there are a lot of things to take into account. This paper has been written to help those planning a directory deployment, and in particular Isode partners working on directory deployments for their customers and prospects. As the specifics of the approach taken will depend on the deployment requirements this paper does not attempt to be prescriptive, there are no "Right answers". Instead, a series of questions that (may) need to be asked are listed.   
whitepaper Blade servers: Data centre power and cooling issues2008-03-03 IBM
 

IT managers need to reduce power consumption in IT infrastructure. Blades servers which provide a more efficient form of computing than traditional servers could provide an answer.

Read this white paper to see how technology leaders can reduce power consumption through blades, and what type of power and cooling efficiencies they provide.



Tags: Server Consolidation		   
whitepaper Grid Computing With Oracle Database 11g2008-03-01 IDG (International Data Group)
  This paper discusses the evolution of the datacenter toward the adoption of grid computing and details the benefits derived from this development. It considers the implications for database systems and details the requirements of a database for successful deployment in a grid computing context. It then reviews the features of Oracle Database 11g and shows how that product meets those requirements.   
whitepaper Declarative Data Filtering2008-03-01 Oracle
  In Oracle JDeveloper, one can specify easy-to-understand names for the columns defined in the SQL query encapsulated by a view object. For example, the Managers view object in the starter workspace queries the EMP table. Although the query includes the JOB column, the corresponding view object attribute is named CompanyRole. Previous versions of Oracle JDeveloper made it possible to manually enter custom WHERE and ORDER BY clauses in a view object query, and they included an "Expert mode" that gave full control over the entire SQL statement. Although these modes are both still supported, they require one to remember the names of the underlying database columns - a tedious requirement if one is not intimately familiar with the schema.

Tags: Application Development		   
whitepaper On BULK COLLECT2008-03-01 Oracle
  The most important thing to remember when one learns about and start to take advantage of features such as BULK COLLECT is that there is no free lunch. There is almost always a trade-off to be made somewhere. The tradeoff with BULK COLLECT, like so many other performance-enhancing features, is "Run faster but consume more memory." Specifically, memory for collections is stored in the Program Global Area (PGA), not the System Global Area (SGA). SGA memory is shared by all sessions connected to Oracle Database, but PGA memory is allocated for each session.   
whitepaper Enabling Virtualized Grids With Oracle and NetApp2008-03-01 NetApplications.com
  Oracle Grid architectures are absorbing new technologies and are continuing to evolve. The recent introduction of Oracle VM for advanced server virtualization, in combination with storage virtualization features of NetApp such as FlexVol, FlexClone, and FAS deduplication, make it possible to significantly increase server and storage utilization on Oracle Grids for improved efficiency and reduced operating costs. This white paper provides an overview of these technologies and highlights a case study of their adoption.

Tags: Virtualization		   
whitepaper IBM's Vision for the New Enterprise Data Center2008-03-01 IBM
  IBM's vision for the new enterprise data center is an evolutionary model that helps reset the economics of IT and can dramatically improve operational efficiency. It also can help reduce and control rising costs and improve provisioning speed and data center security and resiliency - at any scale. It will allow being highly responsive to any user need. And it aligns technology and business - giving the freedom and the tools one need to innovate - and stay ahead of the competition. Through the experience with thousands of client engagements, IBM has developed an architected approach based on best practices and proven implementation patterns and blueprints.