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Published By: Pentaho     Published Date: Feb 26, 2015
This eBook from O’Reilly Media will help you navigate the diverse and fast-changing landscape of technologies for processing and storing data (NoSQL, big data, MapReduce, etc).
Tags : 
data systems, data-intensive applications, scalability, maintainability, data storage, application development, database development
    
Pentaho
Published By: CAST     Published Date: May 07, 2013
As enterprise IT departments increasingly move toward multi-sourcing environments, it is more important than ever to measure ADM deliverables—not only to manage risks by ensuring overall structural quality of systems, but also to objectively evaluate vendors and make smarter sourcing decisions. This paper describes the eight steps for integrating Sofware Analysis & Measurement (SAM) in your outsourcing relationship lifecycle—from RFP preparation to contract development, team transition and benchmarking—to objectively evaluate the reliability, security, efficiency, maintainability, and size of software deliverables. This measurement can greatly improve the maturity in your outsourcing relationships to enhance performance and reduce risk.
Tags : 
adm, managing risk, sam, software analysis & measurement, sam solutions, vendor management, outsourcing, outsourcers
    
CAST
Published By: AMD     Published Date: Jul 23, 2012
Virtualization and the cloud have effectively become mandates for IT. Though we are still somewhat early in the virtualization and cloud lifecycles, it's quite clear that these two technologies are going to become major, if not dominant models of IT.
Tags : 
cloud computing, virtualization, scalability, memory management, server density, maintainability, workload management, network connections
    
AMD
Published By: Hewlett-Packard     Published Date: Aug 02, 2013
Every data center IT manager must constantly deal with certain practical constraints such as time, complexity, reliability, maintainability, space, compatibility, and money. The challenge is that business application demands on computing technology often don’t cooperate with these constraints. A day is lost due to a software incompatibility introduced during an upgrade, hours are lost tracing cables to see where they go, money is spent replacing an unexpected hardware failure, and so on. Day in and day out, these sorts of interruptions burden data center productivity. Sometimes, it’s possible to temporarily improve the situation by upgrading to newer technology. Faster network bandwidth and storage media can reduce the time it takes to make backups. Faster processors — with multiple cores and larger memory address space — make it possible to practically manage virtual machines.
Tags : 
bladesystem, blade, infrastructure, blade infrastructure, productivity, infrastructure management
    
Hewlett-Packard
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