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Title Date Added Company

Managing Large Data With SAS SPD Server 2008-03-10 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

Small Improvements Causing Substantial Savings - Forecasting Intermittent Demand Data Using SAS Forecast Server 2008-03-10 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

Directory Deployment Planning Checklist 2008-03-05 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.

Blade servers: Data centre power and cooling issues 2008-03-03 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

On BULK COLLECT 2008-03-01 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.

Declarative Data Filtering 2008-03-01 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

Enabling Virtualized Grids With Oracle and NetApp 2008-03-01 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

IBM's Vision for the New Enterprise Data Center 2008-03-01 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.

Grid Computing With Oracle Database 11g 2008-03-01 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.

Taneja Group: Brocade FME - Total Enterprise File Management 2008-03-01 Brocade Communications Systems

Today's server administrators are tasked with managing the ever-growing files stored within their data centers. This Taneja Group report, Brocade FME - Total Enterprise File Management, provides insights into how Brocade File Management Engine (FME) delivers policy-driven automation to simplify file management and enable transparent file movement within the data center.

Tags: Storage Management, Data Center, Data Recovery - Security

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Title	Date Added	Company
Managing Large Data With SAS SPD Server	2008-03-10	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
Small Improvements Causing Substantial Savings - Forecasting Intermittent Demand Data Using SAS Forecast Server	2008-03-10	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
Directory Deployment Planning Checklist	2008-03-05	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.
Blade servers: Data centre power and cooling issues	2008-03-03	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
On BULK COLLECT	2008-03-01	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.
Declarative Data Filtering	2008-03-01	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
Enabling Virtualized Grids With Oracle and NetApp	2008-03-01	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
IBM's Vision for the New Enterprise Data Center	2008-03-01	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.
Grid Computing With Oracle Database 11g	2008-03-01	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.
Taneja Group: Brocade FME - Total Enterprise File Management	2008-03-01	Brocade Communications Systems
Today's server administrators are tasked with managing the ever-growing files stored within their data centers. This Taneja Group report, Brocade FME - Total Enterprise File Management, provides insights into how Brocade File Management Engine (FME) delivers policy-driven automation to simplify file management and enable transparent file movement within the data center. Tags: Storage Management, Data Center, Data Recovery - Security