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A Pragmatic Approach to Server and Data Center Consolidation
Server and data center consolidation has never been more important. Issues such as server sprawl and increasing costs have made consolidation the number one

data center consolidation  Approach to Server and Data Center Consolidation Server and data center consolidation has never been more important. Issues such as server sprawl and increasing costs have made consolidation the number one priority among IT managers. New virtualization technologies, however, are helping data centers combat these problems. Learn about the factors that are driving consolidation initiatives today, and find out what best practices can be used for ensuring its success. 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 consolidation


The Modern Virtualized Data Center
Data center resources are often underused while drawing enormous amounts of power and taking up valuable floor space. Virtualization has been a positive

data center consolidation  Modern Virtualized Data Center Data center resources are often underused while drawing enormous amounts of power and taking up valuable floor space. Virtualization has been a positive evolutionary step in the data center, driving consolidation of resources to maximize power saving and to simplify management and maintenance. Learn more about the benefits of virtualization, and the issues you need to consider when planning a consolidation project. Read More
Unified Planning and Consolidation
Executive teams are under great pressure to maximize profitability, reduce costs, minimize risk, and improve stakeholder confidence. To be effective, they need

data center consolidation  Financial Information Management | Data and Processes Supporting Planning and Budgeting | Department Planning | Budgeting and Forecasting | Sarbanes-Oxley ACT for Consolidating and Reporting Company Information | Unified Planning and Consolidation White Papers | Budgeting and Forecasting Software | SAP Epm Solution | SAP Businessobjects Epm Solutions | Budget Planning Software | Business Strategic Planning | Business Planning Software | Financial Analysis and Planning | Driving Financial and Operational Read More
Avoiding the Hazards of IT Consolidation
Research shows widespread IT spending on data center transformation, IT consolidation, and server virtualization. This reduces costs and streamlines operations,

data center consolidation  widespread IT spending on data center transformation, IT consolidation, and server virtualization. This reduces costs and streamlines operations, right? In theory, yes. But many consolidation projects suffer planning and implementation issues that ultimately impact application performance and user productivity—especially for remote and mobile users. Learn how to avoid the pitfalls of IT consolidation. Read More
Automate to Optimize: The Foundation for Data Center Efficiency
IT administrators need to simplify both complex and routine tasks to deliver increasing value with limited resources. Data center automation can help minimize

data center consolidation  Optimize: The Foundation for Data Center Efficiency Automate to Optimize : The Foundation for Data Center Efficiency If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Today’s heterogeneous enterprise data center environments are quickly growing in size and complexity, driven by mergers and acquisitions, expansion into multiple data centers, and large-scale initiatives such as server and storage consolidation. Source : Tidal Software Read More
The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

data center consolidation  Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Garcia looks at the Teradata 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 center consolidation  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
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 center consolidation  Zones in a Low-density Data Center Deploying High-Density Zones in a Low-Density Data Center If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Together, APC’s global teams work to fulfill their mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source : APC Resources Read More
Data Management Wish List: IT Is Open to Big Changes
Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and

data center consolidation  Open to Big Changes Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and consume the data. In recent years, however, information technology (IT) leaders have focused much more attention on their organizations’ data management platforms and capabilities. Download this white paper to get a better picture of the current data management landscape. 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

data center consolidation  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 analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility. 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

data center consolidation  perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most 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 consolidation  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 Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

data center consolidation  Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet

data center consolidation  A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quality data. Read More
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