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Storage Area Networks For Dummies
If you’ve been charged with setting up storage area networks for your company, learning how SANs work and managing data storage problems might seem challenging. Storage Area Networks For Dummies, 2nd Edition comes to the rescue with just what you need to know. Whether you already a bit SAN savvy or you’re a complete novice, here’s the scoop on how SANs save money, how to implement new technologies like data de-duplication, iScsi, and Fibre Channel over Ethernet, how to develop SANs that will aid your company’s disaster recovery plan, and much more. For example, you can: Understand what SANs are, whether you need one, and what you need to build oneLearn to use loops, switches, and fabric, and design your SAN for peak performanceCreate a disaster recovery plan with the appropriate guidelines, remote site, and data copy techniquesDiscover how to connect or extend SANs and how compression can reduce costsCompare tape and disk backups and network vs. SAN backup to choose the solution you needFind out how data de-duplication makes sense for backup, replication, and retentionFollow great troubleshooting tips to help you find and fix a problemBenefit from a glossary of all those pesky acronyms From the basics for beginners to advanced features like snapshot copies, storage virtualization, and heading off problems before they happen, here’s what you need to do the job with confidence!
R 730.00

Creating Theoretical Research Frameworks using Multiple Methods
By now, it is commonly accepted that investments in information and communication technologies (ICTs) can facilitate macroeconomic growth in developed countries. Research standards in ICT for development (ICT4D) are high, and it is a basic expectation that a theoretically sound conceptual investigation should yield actionable results. An additional expectation is that an on-the-ground study conducted in each setting should add to the common body of knowledge based on theory. In other words, one is expected to make a connection between the world of concepts and the world of reality. Middle-range theories and frameworks could help connect the case studies with grand theories, by helping to create a theoretically sound and practically applicable research architecture of ICT4D.This book demonstrates how creative use of various data analysis methods (e.g., data mining [DM], data envelopment analysis [DEA], and structural equation modeling [SEM]) and conceptual frameworks (e.g., neoclassical growth accounting, chaos and complexity theories) may be utilized for inductive and deductive purposes to develop and to test, in step-by-step fashion, theoretically sound frameworks for a large subset of ICT4D research questions. Specifically, this book showcases the utilization of DM, DEA, and SEM for the following purposes:Identification of the relevant context-specific constructs (inductive application)Identification of the relationships between the constructs (inductive application)Development of a framework incorporating the constructs and relationships discovered (inductive application)Testing of the constructed framework (deductive application)The book takes a multi-theoretical perspective to economic development research. It starts with an overview of ICT4D. Next it covers such frameworks and theories as neoclassical growth accounting and the theory of complementarity, complex systems and chaos theories, and the product life cycle (PLC) theory. There are also nontechnical overviews of the DM and data analytic methods that can be used in this research. Also presented is evidence that human capital and investment capital are complementary and are reliable sources of economic growth. The book concludes with methodological frameworks to guide investment decisions and the formulation of strategic policy.
R 7,600.26







