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LearningSparkpdf下载经过这段时间的整理以及格式调整,以及纠正其中的一些错误修改,整理出PDF下载.
下载地址:CSDN免积分下载完整版可以到这里下载LearningSpark完整版下载附录:LearningSpark目录Chapter1IntroductiontoDataAnalysiswithSparkWhatIsApacheSparkAUnifiedStackWhoUsesSpark,andforWhatABriefHistoryofSparkSparkVersionsandReleasesStorageLayersforSparkChapter2DownloadingSparkandGettingStartedDownloadingSparkIntroductiontoSpark'sPythonandScalaShellsIntroductiontoCoreSparkConceptsStandaloneApplicationsConclusionChapter3ProgrammingwithRDDsRDDBasicsCreatingRDDsRDDOperationsPassingFunctionstoSparkCommonTransformationsandActionsPersistence(Caching)ConclusionChapter4WorkingwithKey/ValuePairsMotivationCreatingPairRDDsTransformationsonPairRDDsActionsAvailableonPairRDDsDataPartitioning(Advanced)ConclusionChapter5LoadingandSavingYourDataMotivationFileFormatsFilesystemsStructuredDatawithSparkSQLDatabases1/3ConclusionChapter6AdvancedSparkProgrammingIntroductionAccumulatorsBroadcastVariablesWorkingonaPer-PartitionBasisPipingtoExternalProgramsNumericRDDOperationsConclusionChapter7RunningonaClusterIntroductionSparkRuntimeArchitectureDeployingApplicationswithspark-submitPackagingYourCodeandDependenciesSchedulingWithinandBetweenSparkApplicationsClusterManagersWhichClusterManagertoUseConclusionChapter8TuningandDebuggingSparkConfiguringSparkwithSparkConfComponentsofExecution:Jobs,Tasks,andStagesFindingInformationKeyPerformanceConsiderationsConclusionChapter9SparkSQLLinkingwithSparkSQLUsingSparkSQLinApplicationsLoadingandSavingDataJDBC/ODBCServerUser-DefinedFunctionsSparkSQLPerformanceConclusionChapter10SparkStreamingASimpleExampleArchitectureandAbstractionTransformationsOutputOperationsInputSources24/7OperationStreamingUIPerformanceConsiderationsConclusionChapter11MachineLearningwithMLlibOverviewSystemRequirementsMachineLearningBasics2/3DataTypesAlgorithmsTipsandPerformanceConsiderationsPipelineAPIConclusion本博客文章除特别声明,全部都是原创!
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