mapreduce使用场景-阿里云

[帮助文档] Iceberg的能力、使用场景和对比优势

Iceberg是一种开放的数据湖表格式。您可以借助Iceberg快速地在HDFS或者阿里云OSS上构建自己的数据湖存储服务，并借助开源大数据生态的Spark、Flink、Hive和Presto等计算引擎来实现数据湖的分析。

[帮助文档] Kudu使用场景和基本概念

Kudu是一个分布式的，具有可扩展性的列式存储管理器，可以对快速变化的数据进行快速分析。

Hadoop 分布式计算框架 MapReduce

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MapReduce中的Combiner函数的作用和使用场景

MapReduce中的Combiner函数的作用和使用场景在MapReduce中，Combiner函数是在Map阶段输出结果传递给Reduce阶段之前进行的一个局部汇总操作。它的作用是减少Shuffle过程中传输的数据量，从而减轻Reduce任务的负载。Combiner函数的作用Combiner函数...

[帮助文档] EMR节点和使用场景介绍

选择合适的集群是E-MapReduce产品使用的第一步。E-MapReduce配置选型不仅要考虑企业大数据使用场景、估算数据量、服务可靠性要求，还应该考虑企业预算。

[帮助文档] 什么是ApacheKyuubi

Apache Kyuubi是一个分布式和多租户网关，为数据湖查询引擎（例如Spark、Flink或Trino等）提供SQL等查询服务。

[帮助文档] 什么是ApacheDoris,有哪些使用场景

Apache Doris是一个高性能、实时的分析型数据库，能够较好的满足报表分析、即席查询、数据湖联邦查询加速等使用场景。本文为您介绍Apache Doris。

阿里云 E-MapReduce产品优势及使用场景

E-MapReduce 是构建于阿里云 ECS 弹性虚拟机之上，利用开源大数据生态系统，包括 Hadoop、Spark、HBase，为用户提供集群、作业、数据等管理的一站式大数据处理分析服务。产品优势：与自建集群相比，E-MapReduce 能给您提供相对方便可控的手段，从各方面管理自己的集群。...

E-MapReduce使用场景是什么?

E-MapReduce 集群适用场景很多。简单说来，Hadoop ecosystem 以及 Spark 能够支持的场景，E-MapReduce都可以支持。因为 E-MapReduce 本质就是 Hadoop 和 Spark 的集群服务，您完全可以将其使用的阿里云 ECS主机视为自己专属的物理主机。以...

《MapReduce 2.0源码分析与编程实战》一1.2　HBase使用场景和成功案例

本节书摘来异步社区《MapReduce 2.0源码分析与编程实战》一书中的第1章，第1.2节，作者：王晓华责编：陈冀康，更多章节内容可以访问云栖社区“异步社区”公众号查看。 1.2　HBase使用场景和成功案例 HBase实战有时候了解软件产品的最好方法是看看它是怎么用的。它可以解决什么问题和...

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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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优惠活动

StarRocks 免费试用

产品入门

快速入门指导

常见问题

最佳实践

EMR实时计算实践