emr cache-阿里云

OSS 数据湖实践 —— 使用EMR JindoFs Cache提升性能

通过使用cache缓存机制，减少数据分析处理过程中直读OSS的次数，不仅能够提高性能，更能减少与OSS的交互流量，减少数据分析成本与时间开销。前提条件已注册阿里云账号，详情请参见注册云账号。已开通E-MapReduce服务和OSS服务。已完成云账号的授权，详情请参见角色授权。已创建Haoo...

EMR Spark Relational Cache 利用数据预组织加速查询

作者：王道远，花名健身，阿里云EMR技术专家，Apache Spark活跃贡献者，主要关注大数据计算优化相关工作。 Relational Cache相关文章链接：使用Relational Cache加速EMR Spark数据分析使用EMR Spark Relational Cache跨集群同步数据E...

企业运维训练营之大数据EMR原理与实践

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EMR Studio 大数据处理最佳实践课程

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EMR Spark Relational Cache 利用数据预组织加速查询

Relational Cache相关文章链接：使用Relational Cache加速EMR Spark数据分析使用EMR Spark Relational Cache跨集群同步数据EMR Spark Relational Cache的执行计划重写EMR Spark Relational Cach...

EMR Spark Relational Cache如何支持雪花模型中的关联匹配

Relational Cache相关文章链接：使用Relational Cache加速EMR Spark数据分析使用EMR Spark Relational Cache跨集群同步数据EMR Spark Relational Cache的执行计划重写背景 Join是Spark SQL中非常常见的操...

EMR Spark Relational Cache的执行计划重写

作者：王道远，花名健身，阿里巴巴计算平台EMR技术专家。背景 EMR Spark提供的Relational Cache功能，可以通过对数据模型进行预计算和高效地存储，加速Spark SQL，为客户实现利用Spark SQL对海量数据进行即时查询的目的。Relational Cache的工作原理类...

EMR Spark Relational Cache的执行计划重写

背景 EMR Spark提供的Relational Cache功能，可以通过对数据模型进行预计算和高效地存储，加速Spark SQL，为客户实现利用Spark SQL对海量数据进行即时查询的目的。Relational Cache的工作原理类似物化视图，在用户提交SQL语句时对语句进行分析，并选出可用...

使用EMR Spark Relational Cache跨集群同步数据 | 6月6号云栖夜读

点击订阅云栖夜读日刊，专业的技术干货，不容错过！阿里专家原创好文 1.使用EMR Spark Relational Cache跨集群同步数据 Relational Cache是EMR Spark支持的一个重要特性，主要通过对数据进行预组织和预计算加速数据分析，提供了类似传统数据仓库物化视图的功能。...

使用EMR Spark Relational Cache跨集群同步数据

Relational Cache相关文章链接：使用Relational Cache加速EMR Spark数据分析背景Relational Cache是EMR Spark支持的一个重要特性，主要通过对数据进行预组织和预计算加速数据分析，提供了类似传统数据仓库物化视图的功能。除了用于提升数据处理速度...

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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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EMR实时计算实践