14-spark

#14-spark简介

14-spark
|____day01-01.Spark介绍.avi
|____day01-02.安装Spark.avi
|____day01-03.使用Spark实现wordcount.avi
|____day01-04.Spark编程实现wordcount.avi
|____day01-05.Sparkjava版单词统计.avi
|____day01-06.Spark程序包找不到问题-配置idea下的全局库-在模块中指定全局库.avi
|____day01-07.部署spark完全分布式集群.avi
|____day01-08.spark脚本分析-进程管理.avi
|____day02-01.Scala文件的maven编译问题.avi
|____day02-02.核心API模块介绍.avi
|____day02-03.RDD弹性分布式数据集.avi
|____day02-04.RDD并发度-分区-变换.avi
|____day02-05.RDD变换-wordcount-count-reduce.avi
|____day02-06.RDD变换-groupByKey-join.avi
|____day02-07.RDD变换-cogroup.avi
|____day02-08.RDD变换-笛卡尔积.avi
|____day02-09.RDD变换-pipe.avi
|____day02-10.RDDAction-collect-count-countByKey-saveAs-foreach-take.avi
|____day02-11.RDD数据倾斜处理.avi
|____day02-12.Spark和hadoopHA整合-数据倾斜使用.avi
|____day03-01.spark运行代码解析-1.avi
|____day03-02.spark-dag调度器-task调度器-job-taskset-task.avi
|____day03-03.spark-activeJob-taskSchedulerImpl.avi
|____day03-04.spark作业提交-事件loop-调度器处理-监听器总线.avi
|____day03-05.spark作业提交-后台调度器-RpcEndpoint-消息发送-消息接受-最终代码调用.avi
|____day04-01.spark提交流程回顾.avi
|____day04-02.spark提交流程图形总结-宽窄依赖1.avi
|____day04-03.spark启动模式.avi
|____day04-04.spark持久化-shuffle.avi
|____day04-05.spark持久化-删除数据-丢失数据的恢复.avi
|____day04-06.spark累加器-广播变量.avi
|____day04-07.spark分布式计算PI值.avi
|____day04-08.SparkSQL模块.avi
|____day05-01.SparkSQL操纵json文件-read-write.avi
|____day05-02.SparkSQL使用jdbc操纵Mysql数据库.avi
|____day05-03.SparkSQL交互hive.avi
|____day05-04.SparkSQL交互hive-thriftserver.avi
|____day05-05.SparkSQL分布式SQL查询引擎.avi
|____day05-06.SparkStreaming流计算.avi
|____day05-07.SparkStreaming流计算JavaAPI编程实现-完全分布式提交作业.avi
|____day05-08.SparkStreaming流计算集群上提交演示.avi
|____day05-09.SparkStreamingDStream类考察-Receiver.avi
|____day05-10.SparkStreaming和Kafka集成.avi
|____day05-11.SparkStreamingRDD-DStream-hadoop分区.avi
|____day05-12.SparkStreamingupdateStateByKey状态更新.avi
|____day06-01.sparkstreamingwindows化操作.avi
|____day06-02.sparkstreaming容错处理.avi
|____day06-03.sparkstreaming容错代码测试-checkpoint-注意事项.avi
|____day06-04.spark机器学习-介绍-分类-聚类-推荐(协同过滤).avi
|____day06-05.spark分类算法.avi
|____day06-06.spark机器学习-逻辑回归测试.avi
|____day06-07.spark机器学习-逻辑回归测试2.avi
|____day06-08.spark机器学习-分类-spamFilter.avi
|____day07-01.推荐算法.avi
|____day07-02.ALS最小二乘法实现推荐模型.avi
|____day07-03.ALS实现电影推荐.avi
|____day07-04.推荐model应用-商品推荐-用户推荐-topn推荐-all用户推荐.avi
|____day07-05.python体验.avi
|____day07-06.pythonwindows的安装.avi
|____day07-07.python基础-语句块.avi
|____day07-08.python基本数据类型.avi
|____day07-09.python运算符.avi
|____day07-10.python循环.avi
|____day07-11.pythonString.avi
|____day07-12.python文件访问.avi
|____day08-01.mysql集成python3.4-注意事项.avi
|____day08-02.mysql大数据量插入-查询-条件查询.avi
|____day08-03.python操纵mysql事务管理-自动提交模式.avi
|____day08-04.python操纵mysql存储过程和函数.avi
|____day08-05.python操纵多线程-时间函数.avi
|____day08-06.pythonOOP.avi
|____day08-07.python多线程.avi
|____day08-08.pythonSocket编程.avi
|____day08-09.pythonSocketUDP编程.avi
|____day08-10.python爬虫实现.avi
|____day09-01.python协同hbase实现数据写入.avi
|____day09-02.python编写wordcount.avi
|____day09-03.python编译hbase.thrift文件-实现put操作.avi
|____day09-04.python编译错误纠正-测试.avi
|____day09-05.python查询hbasescan-delete.avi
|____day09-06.python爬虫存储页面在hbase中-base64对url编码.avi
|____day09-07.python&spark实现数据分析-图表.avi
|____day09-08.python&spark实现数据分析-直方图-饼图-嵌套子图-条形图.avi
|____day10-01.商品价格抓取.avi
|____day10-02.Spark闭包处理-local-cluster模式下区别.avi
|____day10-03.SparkApp部署模式-client-cluster区分演示.avi
|____day10-04.Sparkyarn集群运行模式.avi
|____day10-05.Sparkyarnclient模式运行.avi
|____day10-06.Sparkyarncluster模式运行-上传sparkjar到hdfs.avi
|____day10-07.SparkHA模式配置与测试.avi
|____day10-08.Sparkhive集成.avi
|____Spark-01
|____Spark-02
|____Spark-03
|____Spark-04
|____Spark-05
|____Spark-06
|____Spark-07
|____Spark-08
|____Spark-09
|____Spark-10
|____thrift.rar
|____Xming-6-9-0-31-setup.exe
|____图画.png