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