LEADER 01359nam 2200457 450 001 9910706232503321 005 20190815094329.0 035 $a(CKB)5470000002456114 035 $a(OCoLC)1007524675 035 $a(EXLCZ)995470000002456114 100 $a20171025d2016 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHeads up $estop think connect 210 1$a[Washington, D.C.] :$c[United States Federal Trade Commission],$d2016. 215 $a1 online resource (12 pages) $cillustrations 300 $a"September 2016." 517 $aHeads up 606 $aCyberbullying$zUnited States 606 $aCyberspace$zUnited States 606 $aInternet$xSecurity measures$zUnited States 606 $aCyberbullying$2fast 606 $aCyberspace$2fast 606 $aInternet$xSecurity measures$2fast 607 $aUnited States$2fast 615 0$aCyberbullying 615 0$aCyberspace 615 0$aInternet$xSecurity measures 615 7$aCyberbullying. 615 7$aCyberspace. 615 7$aInternet$xSecurity measures. 712 02$aUnited States.$bFederal Trade Commission, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910706232503321 996 $aHeads up$93451132 997 $aUNINA LEADER 03613nam 22006855 450 001 9910300752003321 005 20200702005227.0 010 $a9781484235799 010 $a1484235797 024 7 $a10.1007/978-1-4842-3579-9 035 $a(CKB)4100000005679063 035 $a(DE-He213)978-1-4842-3579-9 035 $a(MiAaPQ)EBC5494721 035 $a(CaSebORM)9781484235799 035 $a(PPN)229919707 035 $a(OCoLC)1051771109 035 $a(OCoLC)on1051771109 035 $a(EXLCZ)994100000005679063 100 $a20180816d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBeginning Apache Spark 2 $eWith Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library /$fby Hien Luu 205 $a1st ed. 2018. 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2018. 215 $a1 online resource (XI, 393 p. 86 illus.) 300 $aIncludes index. 311 08$a9781484235782 311 08$a1484235789 327 $a1. Introduction to Apache Spark -- 2. Working with Apache Spark -- 3. Resilient Distributed Dataset -- 4. Spark SQL - Foundation -- 5. Spark SQL - Advanced -- 6. Spark Streaming -- 7. Spark Streaming Advanced -- 8. Machine Learning with Spark. 330 $aDevelop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it. Along the way, you?ll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you?ll learn the fundamentals of Spark ML for machine learning and much more. After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications. You will: Understand Spark unified data processing platform Use and manipulate RDDs Deal with structured data using Spark SQL Build real-time applications using Spark Structured Streaming Develop intelligent applications with the Spark Machine Learning library. 517 3 $aBeginning Apache Spark two 606 $aBig data 606 $aJava (Computer program language) 606 $aData mining 606 $aOpen source software 606 $aComputer programming 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aJava$3https://scigraph.springernature.com/ontologies/product-market-codes/I29070 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aOpen Source$3https://scigraph.springernature.com/ontologies/product-market-codes/I29090 615 0$aBig data. 615 0$aJava (Computer program language) 615 0$aData mining. 615 0$aOpen source software. 615 0$aComputer programming. 615 14$aBig Data. 615 24$aJava. 615 24$aData Mining and Knowledge Discovery. 615 24$aOpen Source. 676 $a005.7 700 $aLuu$b Hien$4aut$4http://id.loc.gov/vocabulary/relators/aut$01060685 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910300752003321 996 $aBeginning Apache Spark 2$92514874 997 $aUNINA