大数据面试题百日hadoop 的相关内容

[帮助文档] 迁移Hadoop集群至DataLake集群

本文将详细阐述如何将您已有的旧版数据湖集群（Hadoop），高效地迁移至数据湖集群（DataLake），以下分别简称“旧集群”和“新集群”。迁移过程将充分考虑旧集群的版本、元数据类型以及存储方式，并针对这些因素，提供适应新集群的迁移策略与步骤。

[帮助文档] 基于Hadoop集群支持Delta Lake或Hudi存储机制

Delta Lake和Hudi是数据湖方案中常用的存储机制，为数据湖提供流处理、批处理能力。MaxCompute基于开源的Hadoop集群提供了支持Delta或Hudi存储机制的湖仓一体架构。您可以通过MaxCompute查询到实时数据，即时洞察业务数据变化。

大数据实战项目：反爬虫系统（Lua+Spark+Redis+Hadoop框架搭建）第一阶段

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大数据实战项目：反爬虫系统（Lua+Spark+Redis+Hadoop框架搭建）第二阶段

28 课时 |

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大数据实战项目：反爬虫系统（Lua+Spark+Redis+Hadoop框架搭建）第三阶段

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大数据面试题百日更新_Hadoop专题(Day10)

12. 请说下 MR 中 shuffle 阶段13. shuffle 阶段的数据压缩机制了解吗

大数据面试题百日更新_Hadoop专题(Day09)

10. 请说下 MR 中 Map Task 的工作机制简单概述：inputFile 通过 split 被切割为多个 split 文件，通过 Record 按行读取内容给map（自己写的处理逻辑的方法），数据被 map 处理完之后交给 OutputCollect 收集器，对其结果 key 进行分区（默...

大数据面试题百日更新_Hadoop专题(Day06)

大数据面试题百日更新_Hadoop专题(Day06)在 NameNode HA 中，会出现脑裂问题吗？怎么解决脑裂

大数据面试题百日更新_Hadoop专题(Day05)

6. Secondary NameNode 不能恢复 NameNode 的全部数据，那如何保证 NameNode 数据存储安全

大数据面试题百日更新_Hadoop专题(Day04)

5. Secondary NameNode 了解吗，它的工作机制是怎样的Secondary NameNode 是合并 NameNode 的 edit logs 到 fsimage 文件中；它的具体工作机制：（1）Secondary NameNode 询问 NameNode 是否需要 checkpo...

大数据面试题百日更新_Hadoop专题(Day01)

Hadoophadoop 中常问的有三块，第一：存储，问到存储，就把 HDFS 相关的知识点拿出来；第二：计算框架(MapReduce)；第三：资源调度框架(yarn)请说下 HDFS 读写流程这个问题虽然见过无数次，面试官问过无数次，但是就是有人不能完整的说下来，所以请务必记住。并且很多问题都...

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