LEADER 03160nam 22005535 450 001 9910254561003321 005 20200630010407.0 010 $a9781484227817 010 $a1484227816 024 7 $a10.1007/978-1-4842-2781-7 035 $a(CKB)4100000000587620 035 $a(DE-He213)978-1-4842-2781-7 035 $a(MiAaPQ)EBC5047067 035 $a(CaSebORM)9781484227817 035 $a(PPN)204536871 035 $a(OCoLC)1076923230 035 $a(OCoLC)on1076923230 035 $a(EXLCZ)994100000000587620 100 $a20170914d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPractical Concurrent Haskell $eWith Big Data Applications /$fby Stefania Loredana Nita, Marius Mihailescu 205 $a1st ed. 2017. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2017. 215 $a1 online resource (XV, 266 p. 26 illus., 19 illus. in color.) 311 08$a9781484227800 311 08$a1484227808 320 $aIncludes bibliographical references and index. 330 $aLearn to use the APIs and frameworks for parallel and concurrent applications in Haskell. This book will show you how to exploit multicore processors with the help of parallelism in order to increase the performance of your applications.  Practical Concurrent Haskell teaches you how concurrency enables you to write programs using threads for multiple interactions. After accomplishing this, you will be ready to make your move into application development and portability with applications in cloud computing and big data.  You'll use MapReduce and other, similar big data tools as part of your Haskell big data applications development.   What You'll Learn Program with Haskell Harness concurrency to Haskell Apply Haskell to big data and cloud computing applications Use Haskell concurrency design patterns in big data Accomplish iterative data processing on big data using Haskell Use MapReduce and work with Haskell on large clusters Who This Book Is For Those with at least some prior experience with Haskell and some prior experience with big data in another programming language such as Java, C#, Python, or C++. 606 $aProgramming languages (Electronic computers) 606 $aComputer programming 606 $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 615 0$aProgramming languages (Electronic computers) 615 0$aComputer programming. 615 14$aProgramming Languages, Compilers, Interpreters. 615 24$aProgramming Techniques. 676 $a005.13 700 $aNita$b Stefania Loredana$4aut$4http://id.loc.gov/vocabulary/relators/aut$0974205 702 $aMihailescu$b Marius$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910254561003321 996 $aPractical Concurrent Haskell$92217891 997 $aUNINA