大数据框架（HADOOP、HIVE、HBASE）优化和简历项目编写（视频+讲义+笔记）

[{"title":"（ 22 个子文件 375.43MB ） 大数据框架（HADOOP、HIVE、HBASE）优化和简历项目编写（视频+讲义+笔记）","children":[{"title":"csdn-27、大数据框架（HADOOP、HIVE、HBASE）优化和简历项目编写（视频+讲义+笔记）","children":[{"title":"03_截图","children":[{"title":"06-mr优化-推测执行.png <span style='color:#111;'> 112.18KB </span>","children":null,"spread":false},{"title":"08-hbase优化-regionserver gc回收设置.png <span style='color:#111;'> 102.74KB </span>","children":null,"spread":false},{"title":"05-mr优化-reduce拉取数据线程设置.png <span style='color:#111;'> 105.72KB </span>","children":null,"spread":false},{"title":"03-mr优化-mapreduce输出压缩.png <span style='color:#111;'> 114.22KB </span>","children":null,"spread":false},{"title":"09-hbase优化-regionserver内存设置.png <span style='color:#111;'> 170.90KB </span>","children":null,"spread":false},{"title":"04-mr优化-jvm重用.png <span style='color:#111;'> 142.39KB </span>","children":null,"spread":false},{"title":"02-mr优化-map输出数据压缩设置.png <span style='color:#111;'> 106.71KB </span>","children":null,"spread":false},{"title":"07-hive优化-并行执行.png <span style='color:#111;'> 177.45KB </span>","children":null,"spread":false},{"title":"01-mr优化-map 环形缓冲区设置.png <span style='color:#111;'> 107.78KB </span>","children":null,"spread":false}],"spread":true},{"title":"01_视频","children":[{"title":"13_大数据项目简历编写指导及HADOOP 项目业务需求补充说明_转.mp4 <span style='color:#111;'> 60.11MB </span>","children":null,"spread":false},{"title":"04_MapReduceShuffle回顾及性能优化详解_转.mp4 <span style='color:#111;'> 61.26MB </span>","children":null,"spread":false},{"title":"05_MapReduce 二次排序回顾及Reduce Join实现详解_转.mp4 <span style='color:#111;'> 41.79MB </span>","children":null,"spread":false},{"title":"10_Hive中高级优化及数据倾斜处理（二）_转.mp4 <span style='color:#111;'> 47.74MB </span>","children":null,"spread":false},{"title":"08_Hive中大表与大表关联时SMB Join优化_转.mp4 <span style='color:#111;'> 26.52MB </span>","children":null,"spread":false},{"title":"07_Hive重点知识回顾总结及小表与大表关联时MapJoin优化_转.mp4 <span style='color:#111;'> 44.11MB </span>","children":null,"spread":false},{"title":"09_Hive中高级优化及数据倾斜处理（一）_转.mp4 <span style='color:#111;'> 38.34MB </span>","children":null,"spread":false},{"title":"03_回顾复习HADOOP阶段课程讲解【案例项目】_转.mp4 <span style='color:#111;'> 17.38MB </span>","children":null,"spread":false},{"title":"目录.txt <span style='color:#111;'> 665B </span>","children":null,"spread":false},{"title":"06_MapReduce 中Map Join实现思路及伪代码详解_转.mp4 <span style='color:#111;'> 37.04MB </span>","children":null,"spread":false},{"title":"11_Hive中groupBy数据倾斜面试详解及HBase 性能优化详解_转.mp4 <span style='color:#111;'> 52.71MB </span>","children":null,"spread":false}],"spread":false},{"title":"02_笔记","children":[{"title":"HADOOP项目业务需求分析说明.txt <span style='color:#111;'> 7.72KB </span>","children":null,"spread":false},{"title":"HADOOP优化及项目编写讲解.txt <span style='color:#111;'> 16.43KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]