Udemy線上課程 Apache Flink 1.17.x DataStream API Streaming 即時計算完全教程 講師:Alexander Wong 影音教學 中文發音 繁體中文(2DVD) Udemy線上課程ApacheFlink1.17.xDataStreamAPIStreaming即時計算完全教程講師:AlexanderWong影音教學中文發音繁體中文(2DVD)內容說明: 非常感謝您能夠購買我的課程，這是一門關於ApacheFlink1.17.x的完全教學影片，在該影片中我會非常詳細由淺入深的介紹並且練習每一個ApacheFlink框架的使用細節. ApacheFlink是一個框架和分散式處理引擎，用於對無界和有界資料流進行狀態計算。 Flink被設計為在所有常見的叢集環境中運行，以記憶體速度和任何規模執行計算。 【課程特色】代碼驅動大量的案例由淺入深課程內容緊湊涵蓋絕大多數ApacheFlink框架的內容豐富的綜合案例 [課程大綱]ApacheFlink1.17.2快速開始詳細講解ApacheFlink1.17.2JobDeploymentMode詳細講解ApacheFlink1.17.2運行時架構詳細講解ApacheFlink1.17.2DataStreamAPI及即時應用開發詳細講解ApacheFlink1.17.2WindowAPI及即時應用開發深入解讀ApacheFlink1.17.2Watermark-處理遲到和亂序數據詳細講解ApacheFlink1.17.2StatefuloperatorsandApplication詳細講解ApacheFlink1.17.2Checkpoints&SavePoints&ExactlyOnceSemantic 希望你能夠喜歡這門課程，經過這門課程的學習，您將成為ApacheFlink的專家，並且能夠基於ApacheFlink構建複雜即時事件處理應用程式 課程內容: 01-ApacheFlink1.17.2課程介紹 001Prerequisites.mp4 002CourseObjective.mp4 003課程介紹.mp4 02-ApacheFlink1.17.2快速開始 001第一部分(FlinkQuickStart)內容概要.mp4 002ApacheFlink的基本介紹.mp4 003ApacheFlink的特色介紹.mp4 004ApacheFlink的使用場景.mp4 005ApacheFlink的架構預覽.mp4 006Flink獨立叢集安裝.mp4 007Flink叢集的啟動及停止.mp4 008FlinkDataSetAPI處理離線檔.mp4 009FlinkDataStreamAPI處理離線文件.mp4 010FlinkRuntimeExecutionMode.mp4 011FlinkDataStream處理流數據.mp4 012FlinkDataStreamAPIandJavaLambda表達式.mp4 013使用JobManager的WebUI提交FlinkJob.mp4 014使用Flink命令行提交FlinkJob.mp4 03-詳細講解ApacheFlink1.17.2JobDeploymentMode 001第二部分(FlinkJobDeploymentMode)內容摘要.mp4 002SessionMode,Per-JobMode和ApplicationMode概述.mp4 003FlinkjobSessiondeployMode的優缺點.mp4 004FlinkjobPer-JobDeployMode的優缺點.mp4 005FlinkjobApplicationDeployMode的優缺點.mp4 006SessionModeUnderStandaloneCluster.mp4 007ApplicationModeUnderStandaloneCluster.mp4 008Hadoop叢集的安裝與準備.mp4 009SessionModeUnderYarnResourceProvider.mp4 010Per-JobModeUnderYarnResourceProvider.mp4 011ApplicationModeUnderYarnResourceProvider.mp4 012進一步優化ApplicationMode的作業提交.mp4 013FlinkJobHistoryServer配置以及啟動.mp4 04-詳細講解ApacheFlink1.17.2運行時架構 001第三部分(ApacheFlinkRuntimeArchitecture)內容概要.mp4 002ApacheFlink運行時架構與內部組件詳解.mp4 003ApacheFlinkSlots,Tasks,SubTasks概念的介紹.mp4 004ApacheFlinkLocalEnvironmentForDevelop.mp4 005ApacheFlinkjoboperatorparallelism.mp4 006ApacheFlinkoperator並行度優先權詳解.mp4 007ApacheFlinkoperatorchaining介紹.mp4 008什麼情況下會發生Operatorchaining.mp4 009ApacheFlinkOperatorChainingAPIandProgramming.mp4 010ApacheFlinkShardSlotsGroup.mp4 011ApacheFlinkJob提交執行的流程-Standalone叢集下的SessionDeployMode.mp4 012ApacheFlinkJob提交執行的流程-Yarn叢集下的Per-JobDeployMode.mp4 013ApacheFlinkJob提交執行的流程-Yarn叢集下的SessionDeployMode.mp4 014深入學習ApacheFlink'sdataflowgraphs.mp4 05-詳細講解ApacheFlink1.17.2DataStreamAPI及即時應用開發 001第四部分(ApacheFlink1.17.2DataStreamAPI)內容概要.mp4 002SourceCollector-JavaCollections.mp4 003SourceCollector-DataGen.mp4 004SourceCollector-TCPSocket.mp4 005SourceCollector-FileSystem以StreamFormat讀取處理本機文件.mp4 006SourceCollector-FileSystem以BulkFormat讀取處理本機文件.mp4 007SourceCollector-HdfsFilesourceconnector.mp4 008SourceCollector-Mongodbsourceconnector.mp4 009SourceCollector-Kafkasourceconnectorconsumetextdata.mp4 010SourceCollector-KafkasourceconnectorconsumeJSONdata.mp4 011SourceCollector-KafkasourceconnectorconsumeK,Vdata.mp4 012SourceCollector-CustomRichSourceFunction.mp4 013SourceCollector-CustomRichParallelSourceFunction.mp4 014FlinkDataTypesandTypeInformation.mp4 015StreamDataTransformations.mp4 016MAP,FILTER,FLATMAPTransformation.mp4 017KeyByandKeyedStream.mp4 018KeyedStreamRollingAggregation.mp4 019KeyedStreamReduceFunction.mp4 020MultistreamMergeOperator-UNION.mp4 021MultistreamMergeOperator-CONNECT(firealarmapplication-I).mp4 022MultistreamMergeOperator-CONNECT(firealarmapplication-II).mp4 023MultistreamConnectOperator-DataStreamsInnerJoin.mp4 024SplitDataStream-SideOutputStream.mp4 025RichFunctionandHandlingApplicationParameters.mp4 026DataExchangeStrategiesandAlgorithms.mp4 027ForwardPartitionerAlgorithm.mp4 028ShufflePartitionerAlgorithm.mp4 029RebalancePartitionerAlgorithm.mp4 030BroadcastPartitionerAlgorithm.mp4 031GlobalPartitionerAlgorithm.mp4 032KeyGroupStreamPartitionerAlgorithm.mp4 033RescalePartitionerAlgorithm.mp4 034CustomPartitionerAlgorithm.mp4 035HowtoapplyAccumulators&Counters.mp4 036SinkCollector-SocketSinkConnector.mp4 037SinkCollector-LocalFileSystemSinkConnector(TXT).mp4 038SinkCollector-LocalFileSystemSinkConnector(AVRO).mp4 039SinkCollector-LocalFileSystemSinkConnector(Parquet).mp4 040SinkCollector-HdfsFileSystemSinkConnector(Avro).mp4 041SinkCollector-JDBCSinkConnector.mp4 042SinkCollector-KafkaSinkConnector(ValueOnly).mp4 043SinkCollector-KafkaSinkConnector(KeyandValue).mp4 044SinkCollector-KafkaSinkConnector(JSON).mp4 045SinkCollector-MongodbSinkConnector.mp4 046自定義sinkcollector(oldAPI).mp4 047自定義sinkcollector(newAPI).mp4 06-詳細講解ApacheFlink1.17.2WindowAPI及即時應用開發 001第五部分(ApacheFlink1.17.2WindowAPI)內容概要.mp4 002KeyedWindow和No-KeyedWindow之間的差異.mp4 003深入解析No-KeyedWindow實作原理.mp4 004深入解析FlinkKeyedWindow的定義以及源碼分析.mp4 005Flink支援的幾種Window類別.mp4 006FlinkWindow的生命週期.mp4 007如何建立TumblingProcessTimeWindow並建置StreamingApplication-I.mp4 008如何建立TumblingProcessTimeWindow並建置StreamingApplication-II.mp4 009深入Flink原始碼進一步分析Window的運算與輸出邏輯.mp4 010SlidingProcessTimeWindow詳解.mp4 011SessionProcessTimeWindow詳解.mp4 012GlobalTimeWindow詳解.mp4 013CountWindow詳解.mp4 014WindowedStreamRollingAggregationFunction詳解.mp4 015WindowedStreamreduceoperatorandReduceFunction詳解.mp4 016WindowedStreamaggregateoperatorandAggregateFunction詳解.mp4 017WindowedStreamprocessoperatorandProcessWindowFunction詳解.mp4 018WindowedStreamSideOutput詳解.mp4 019WindowedStreamwindowfunction結合incrementallyfunction(最佳實務).mp4 020WindowedStreamapplyoperatorandWindowFunction(Legacy)詳解.mp4 021WindowedStreamTrigger&TriggerAPI&TriggerResult詳細講解.mp4 022WindowedStream深入Trigger源碼剖析工作原理-I.mp4 023WindowedStream深入Trigger源碼剖析工作原理-II.mp4 024WindowedStream深入Trigger源碼剖析工作原理-III.mp4 025WindowedStream如何自定義以及應用WindowTrigger-I.mp4 026WindowedStream如何自定義以及應用WindowTrigger-II.mp4 027WindowedStreamEvictor詳解以及自定義Evictor.mp4 028TimerandTimerService介紹.mp4 029深入Timer和TimerService的工作內幕.mp4 07-深入解讀ApacheFlink1.17.2Watermark-處理遲到和亂序數據 001第六部分(ApacheFlink1.17.2Watermark)內容概要.mp4 002TimeSemanticsIntroduce.mp4 003ProcessTimeandEventTimeIntroduce.mp4 004什麼是FlinkWatermark(Watermark需要解決哪些問題).mp4 005Watermark的生成演算法演進講解.mp4 006透過程式再現亂序數據和遲到數據.mp4 007在視窗計算中如何處理亂序數據和遲到數據.mp4 008FlinkWatermarkStrategy詳細解說.mp4 009深入分析FlinkWatermarkStrategy源碼.mp4 010自定義FlinkWatermarkGenerator.mp4 011多並行度下的watermark傳遞詳細講解.mp4 012透過閱讀原始碼進一步深入分析Flink中Watermark傳遞機制與原理.mp4 013如何處理空閒source的watermark傳遞.mp4 014WindowedStreamAllowedLateness詳細解說.mp4 015WindowedStream透過測輸出流獲取遲到資料避免遺失.mp4 016JoinedStreamswindowjoin詳細講解.mp4 017KeyedStreamintervaljoin詳細講解.mp4 08-詳細講解ApacheFlink1.17.2StatefuloperatorsandApplication 001第七部分(ApacheFlink1.17.2StatefuloperatorsandApplication)內容概要.mp4 002StatefulOperatorandStatefulApplication.mp4 003Flink中關于State的分類.mp4 004FlinkKeyedState之ValueState使用詳細講解.mp4 005FlinkKeyedState之ReducingState使用詳細講解.mp4 006FlinkKeyedState之AggregatingState使用詳細講解.mp4 007FlinkKeyedState之ListState使用詳細講解(TopNExample).mp4 008FlinkKeyedState之MapState使用詳細講解.mp4 009FlinkStateTimetoLive(TTL)配置及應用.mp4 010FlinkOperatorState詳細講解.mp4 011FlinkStatefulSourceCollector(CheckpointedFunction).mp4 012FlinkStatefulSourceOperatorStateApplication開發及測試.mp4 013FlinkBroadcastState詳細講解.mp4 014FlinkStateBackend之HashMapStateBackend詳細講解.mp4 015FlinkStateBackend之EmbeddedRocksDBStateBackend詳細講解.mp4 016FlinkStateQuestionsAndAnswers.mp4 09-詳細講解ApacheFlink1.17.2Checkpoints&SavePoints&ExactlyOnceSemantic 001第八部分(ApacheFlink1.17.2Checkpoints&SavePoints&ExactlyOnceSemantic)內容概要.mp4 002FlinkConsistentCheckpoints.mp4 003FlinkConsistentCheckpoints算法-InstantCheckpoints.mp4 004FlinkConsistentCheckpoints算法-PeriodicallyCheckpoints.mp4 005FlinkConsistentCheckpoints算法-Chandy-Lamport.mp4 006FlinkCheckpointsandJobManagerCheckpointsCoordinator.mp4 007FlinkCheckpoints的基本配置與啟用.mp4 008FlinkCheckpointsBarrierAlignmentandExactlyOnce配置.mp4 009CheckpointsBarrierAlignmentandAtLeastOnce配置.mp4 010FlinkCheckpointsBarrierUnalignmentandExactlyOnce配置.mp4 011Flinksavepointsintroductionandrestoringapplicationstatefromsavepoints.mp4 012HowtoapplysavepointswhenyouresumeFlinkApplication.mp4 013TriggerSavepointswhenstoptheFlinkJob.mp4 014FlinkCheckpointsvsSavepoints.mp4 015FlinkApplicationEndtoEndExactlyOnceSemantics.mp4 016FlinkEOSApplication-Idempotentwrites.mp4 017FlinkEOSApplication-Genericwrite-ahead-log(WAL)sink.mp4 018FlinkEOSApplication-TwoPhaseCommitSink.mp4 019FlinkworkwithApacheKafkaimplementtheEndtoEndExactlyOnceSemantics-I.mp4 020FlinkworkwithApacheKafkaimplementtheEndtoEndExactlyOnceSemantics-II.mp4 021FlinkworkwithApacheKafkaimplementtheEndtoEndExactlyOnceSemantics-III.mp4 022FlinkNewDataSourceCollectorSpecification.mp4 023FlinkNewDataSourceCollector自定義-I.mp4 024FlinkNewDataSourceCollector自定義-II.mp4 025FlinkNewDataSourceCollector自定義-III.mp4 10-Materials&SourceCodeDownload 001apache-flink-1.17.pptx 001FeelFreeToDownload.html 001flink-1.17.2-learning.zip 站內搜索 請輸入軟體名稱或編號functionsubmit_searcher(){searcher_change()vare=document.getElementsByName('keyword2')[0];varu=encodeURI(e.value).split('-').join('[[jianhao]]');window.location='/tag/'+u+'.htm';returnfalse;}購物車functionlar_update_cart(){lch_ajax("/lch_ajax.php?action=cart_get",function(pc){document.getElementById("my_cart").innerHTML=pc;if(document.getElementById("ismenu")){init_disk_list_state();}});}lar_update_cart();functionadd_number_2_cart(number){lch_ajax("/lch_ajax.php?action=cart_add&number="+number,function(pc){document.getElementById("my_cart").innerHTML=pc;});returnfalse;}熱門關鍵字51job前程無憂Frank學院QingmingWpf詳解Zhao工作效率女性領導力三節課下篇六卦詳解王思迅文富打造獨角獸光佑有個小院行銷東東東東好課佳旋易經開門課的環境預備若水美伊思迅星空面對痛苦渡人渡己紫微篇資承遍路文化漢化課程養心養身養神編程入門養體霍大俠觸發器