Cookie policy: This site uses cookies (small files stored on your computer) to simplify and improve your experience of this website. Cookies are small text files stored on the device you are using to access this website. For more information on how we use and manage cookies please take a look at our privacy and cookie policies. Some parts of the site may not work properly if you choose not to accept cookies.
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).
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.
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.
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.
