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数据湖存储分析
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数据湖分析
如何面向对象
存储
OSS进行优化?
从上面可以总结出数据湖具有以下特性:数据来源:原始数据、转换数据数据类型:结构化数据、半结构化数据、非结构化数据、二进制
数据湖存储
:可扩展的海量数据存储服务2、数据湖
分析
方案架构主要包括五个模块:数据源:原始数据存储模块,...
数据湖
中面向对象
存储分析
的问题有哪些?
数据湖
中面向对象
存储分析
的问题有哪些?
云原生
数据湖分析
(DLA)支持表格
存储
并发导出功能,性能大幅提升!
关于我们
数据湖分析
Data Lake Analytics简介 欢迎大家使用云原生
数据湖分析
(DLA),DLA不仅仅便宜,且快,且方便,专为阿里云
数据湖分析
方案而生 支持自建、托管RDS、NoSQL、OSS(JSON、CSV、Parquet等格式)多种数据源
分析
支持按量 按照...
基于Tablestore的一站式物联网
存储
解决方案-
数据湖分析
小结DLA分布式SQL查询计算服务基于Tablestore的范围查询与过滤器的方式,可以在无多元索引的前提下,将复杂的SQL查询拆解为多个子任务并发执行,从而完成对表格
存储
Tablestore中的
数据
进行SQL查询
分析
。同时可以使用OSS服务保存SQL查询结果...
数据湖
,已成为海量数据
存储
与
分析
的重要承载方式(附白皮书下载)
在此背景下,阿里云推出基于云原生技术的企业级
数据湖
解决方案,该方案采用了
存储
计算分离架构,
存储
层基于阿里云对象
存储
OSS构建,并与阿里云
数据湖分析
(Data Lake Analytics 简称 DLA)、
数据湖
构建(Data Lake Formation简称 DLF)、E-...
数据湖
中业界面向对象
存储分析
优化现状是什么?
数据湖
中业界面向对象
存储分析
优化现状是什么?
1
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存储
阿里云是目前国内规模最大的云存储服务商,采用自研飞天大规模分布式存储引擎“盘古2.0”,支撑双11轻松度过吞吐TB/s,IOPS上亿/s的压力,为全球企业提供如磐石的可靠存储服务。
了解更多存储产品
基础存储
对象存储 OSS
表格存储 Tablestore
数据存储
日志服务 SLS
相册与网盘服务 PDS
混合云存储
混合云存储阵列 SA
混合云容灾 HDR
数据迁移
闪电立方Datatransport
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存储
阿里云是目前国内规模最大的云存储服务商,采用自研飞天大规模分布式存储引擎“盘古2.0”,支撑双11轻松度过吞吐TB/s,IOPS上亿/s的压力,为全球企业提供如磐石的可靠存储服务。
了解更多存储产品
基础存储
对象存储 OSS
表格存储 Tablestore
数据存储
日志服务 SLS
相册与网盘服务 PDS
混合云存储
混合云存储阵列 SA
混合云容灾 HDR
数据迁移
闪电立方Datatransport