hadoop构建大数据分析的相关内容

阿里云文档 2025-03-21

使用Hadoop命令操作OSS/OSS-HDFS

在使用阿里云EMR Serverless Spark的Notebook时，您可以通过Hadoop命令直接访问OSS或OSS-HDFS数据源。本文将详细介绍如何通过Hadoop命令操作OSS/OSS-HDFS。

阿里云文档 2025-02-14

基于自建Hadoop集群进行自定义CDH镜像

本文为您介绍如何在DataWorks绑定自建 Hadoop 集群并进行任务开发，以及如何自定义自建集群运行环境。

阿里云文档 2025-01-23

与自建集群的对比优势

与自建Hadoop集群相比，开源大数据开发平台EMR提供弹性资源管理和自动化运维，降低运维复杂度，通过用户管理、数据加密和权限管理等为数据安全保驾护航，同时EMR集成了丰富的开源组件并打通开源生态与阿里云生态，便于快速搭建大数据处理和分析场景。

阿里云文档 2024-12-30

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。

文章 2024-08-25 来自：开发者社区

Hadoop生态系统概述：构建大数据处理与分析的基石

在当今的大数据时代，Hadoop作为开源的大数据处理框架，已经成为众多企业和组织处理大规模数据集的首选工具。Hadoop生态系统是一个由多个组件组成的复杂系统，旨在提供全面的数据存储、处理和分析能力。本文将深入探讨Hadoop生态系统的核心组件、工作原理、应用场景以及其优势和局限性。 Hadoop生态系统的核心组件 Hadoop Distributed ...

文章 2024-07-07 来自：开发者社区

使用Hadoop构建Java大数据分析平台

使用Hadoop构建Java大数据分析平台 1. Hadoop简介 Apache Hadoop是一个开源的分布式存储和计算系统，主要用于存储和处理大规模数据集。它提供了一个分布式文件系统（HDFS）和一个并行计算框架（MapReduce），能够有效地处理海量数据。 2. 构建Hadoop环境在搭建Java大数据...

阿里云文档 2024-04-03

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。

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开源大数据平台 E-MapReduce

开源大数据平台 E-MapReduce（简称“EMR”）是云原生开源大数据平台，向客户提供简单易集成的Hadoop、Hive、Spark、Flink、Presto、ClickHouse、StarRocks、Delta、Hudi等开源大数据计算和存储引擎服务。

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立即开通

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产品入门

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常见问题

最佳实践

EMR实时计算实践