01568nam1 22003733i 450 RMS004811920251003044343.020080826g1998 ||||0itac50 baengusz01i xxxe z01nUnix network programmingby W. Richard StevensUpper Saddle River (NJ)Prentice Hall PTR v.25 cm.001RMS00588552001 ˆ2: ‰Interprocess communicationsby W. Richard Stevens2001UBO02935172001 ˆ1: ‰Networking APIs: sockets and XTIby W. Richard Stevens1Reti di elaboratoriFIRCFIC070162EElaboratori elettroniciSistema operativo UnixFIRCFIC008510I005.7DATI NEI SISTEMI DI ELABORAZIONE14005.712768PROGRAMMAZIONE PER SPECIFICI TIPI DI ELABORATORE, SISTEMI OPERATIVI, PER SPECIFICHE INTERFACCE UTENTE. Programmazione per sistemi di elaborazione client-server Unix22Reti di calcolatoriReti di computerReti di elaboratoriReti di calcolatoriReti di elaboratoriReti di computerStevens, W. RichardPUVV03108207062547ITIT-00000020080826IT-BN0095 NAP 01SALA DING $RMS0048119Biblioteca Centralizzata di Ateneov. 1-2v. 1-2 01SALA DING 005.7 STE.un2 01Unix network programming28211UNISANNIO04679nam 22006375 450 991029998740332120220623163610.01-4939-1702-110.1007/978-1-4939-1702-0(CKB)3710000000280944(EBL)1965008(OCoLC)908083039(SSID)ssj0001386732(PQKBManifestationID)11884109(PQKBTitleCode)TC0001386732(PQKBWorkID)11374435(PQKB)11086383(MiAaPQ)EBC1965008(DE-He213)978-1-4939-1702-0(PPN)183088018(EXLCZ)99371000000028094420141114d2014 u| 0engur|n|---|||||txtccrR for Cloud Computing An Approach for Data Scientists /by A Ohri1st ed. 2014.New York, NY :Springer New York :Imprint: Springer,2014.1 online resource (281 p.)Description based upon print version of record.1-4939-1701-3 Includes bibliographical references.Introduction -- An Approach for Data Scientists -- Navigating the Choices in R and Cloud Computing -- Setting up R on the Cloud -- Using R -- Using R with Data and Bigger Data -- R with Cloud APIs -- Securing your R Cloud -- Training Literature for Cloud Computing and R.R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era)  and helps the user navigate the wealth of information in R and its 4000 packages as well as transition the same analytics using the cloud.  With this information the reader can select both cloud vendors  and the sometimes confusing cloud ecosystem as well  as the R packages that can help process the analytical tasks with minimum effort and cost, and maximum usefulness and customization. The use of Graphical User Interfaces (GUI)  and Step by Step screenshot tutorials is emphasized in this book to lessen the famous learning curve in learning R and some of the needless confusion created in cloud computing that hinders its widespread adoption. This will help you kick-start analytics on the cloud including chapters on cloud computing, R, common tasks performed in analytics, scrutiny of big data analytics, and setting up and navigating cloud providers. Readers are exposed to a breadth of cloud computing choices and analytics topics without being buried in needless depth. The included references and links allow the reader to pursue business analytics on the cloud easily.  It is aimed at practical analytics and is easy to transition from existing analytical set up to the cloud on an open source system based primarily on R. This book is aimed at industry practitioners with basic programming skills and students who want to enter analytics as a profession.  Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. It will also help researchers and academics but at a practical rather than conceptual level. The R statistical software is the fastest growing analytics platform in the world, and is established in both academia and corporations for robustness, reliability and accuracy. The cloud computing paradigm is firmly established as the next generation of computing from microprocessors to desktop PCs to cloud.StatisticsProgramming languages (Electronic computers)R (Computer program language)Statistics and Computing/Statistics Programshttps://scigraph.springernature.com/ontologies/product-market-codes/S12008Statistics for Business, Management, Economics, Finance, Insurancehttps://scigraph.springernature.com/ontologies/product-market-codes/S17010Programming Languages, Compilers, Interpretershttps://scigraph.springernature.com/ontologies/product-market-codes/I14037Statistics.Programming languages (Electronic computers)R (Computer program language)Statistics and Computing/Statistics Programs.Statistics for Business, Management, Economics, Finance, Insurance.Programming Languages, Compilers, Interpreters.005.13330.015195519.5Ohri Aauthttp://id.loc.gov/vocabulary/relators/aut1060276BOOK9910299987403321R for Cloud Computing2512154UNINA