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010   $a9781484236529
010   $a1484236521
024 7 $a10.1007/978-1-4842-3652-9
035   $a(CKB)4100000007204921
035   $a(MiAaPQ)EBC5614209
035   $a(DE-He213)978-1-4842-3652-9
035   $a(CaSebORM)9781484236529
035   $a(PPN)23296727X
035   $a(OCoLC)1085513933
035   $a(OCoLC)on1085513933
035   $a(EXLCZ)994100000007204921
100   $a20181212d2018      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPractical Apache Spark $eUsing the Scala API /$fby Subhashini Chellappan, Dharanitharan Ganesan
205   $a1st ed. 2018.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018.
215   $a1 online resource (288 pages)
300   $aIncludes index.
311 08$a9781484236512 
311 08$a1484236513 
330   $aWork with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You?ll follow a learn-to-do-by-yourself approach to learning ? learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure. On completion, you?ll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You?ll also become familiar with machine learning algorithms with real-time usage. You will: Discover the functional programming features of Scala Understand the complete architecture of Spark and its components Integrate Apache Spark with Hive and Kafka Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries Work with different machine learning concepts and libraries using Spark's MLlib packages.
606   $aBig data
606   $aOpen source software
606   $aComputer programming
606   $aProgramming languages (Electronic computers)
606   $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120
606   $aOpen Source$3https://scigraph.springernature.com/ontologies/product-market-codes/I29090
606   $aProgramming Languages, Compilers, Interpreters$3https://scigraph.springernature.com/ontologies/product-market-codes/I14037
615  0$aBig data.
615  0$aOpen source software.
615  0$aComputer programming.
615  0$aProgramming languages (Electronic computers)
615 14$aBig Data.
615 24$aOpen Source.
615 24$aProgramming Languages, Compilers, Interpreters.
676   $a005.114
700   $aChellappan$b Subhashini$4aut$4http://id.loc.gov/vocabulary/relators/aut$0938702
702   $aGanesan$b Dharanitharan$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bUMI
801  1$bUMI
906   $aBOOK
912   $a9910303442303321
996   $aPractical Apache Spark$92534279
997   $aUNINA